Name: Diploma in Python Programming Fundamentals
Price: 5 GBP
Availability: InStock

<p><strong>&gt;&gt; 12-Hour Knowledge Knockdown! Prices Reduced Like Never Before &lt;&lt;</strong></p><p>In the era of big data, the demand for skilled data science professionals has skyrocketed in the UK. According to a recent report, the data science job market in the UK is expected to grow by over <strong>25% by 2026</strong>. Aside from that, Candidates with data science skills have a <strong>96% </strong>employment rate and can earn on average <strong>£40,000 per year.</strong> Our Complete Data Science bundle is about to take you on a tour starting from the beginning.</p><p><strong>This CCTV Operator Training Bundle Contains 4</strong><strong> of Our Premium Courses for One Discounted Price:</strong></p><ul><li><strong> Course 01: </strong>Complete Data Science</li><li><strong> Course 02:</strong> Data Science with Python</li><li><strong> Course 03: </strong>Information Management</li><li><strong> Course 04:</strong> GDPR Data Protection</li></ul><p>Take our Complete Data Science Bundle to learn how to maximise your potential and climb your chosen professional ladder. By participating in these popular courses, you can learn the fundamentals of Python. Discover Python data types. Loops, list comprehension, functions, lambda expressions, maps, and filters should all be taught. Learn about the numpy. Indexing, slicing, broadcasting, and boolean masking are all covered in our Complete Data Science course. Recognise arithmetic and universal functions. Discover everything there is to know about pandas. Learn how to use Python to become an expert in data analysis and visualisation.</p><p><strong>Learning Outcomes of Data Science</strong></p><ul><li>Develop a comprehensive understanding of the data science lifecycle.</li><li>Master data analysis techniques and Python programming for data manipulation.</li><li>Gain proficiency in information management and data organization strategies.</li><li>Understand data protection regulations, including GDPR, and their implications.</li><li>Learn to build robust data-driven applications and predictive models.</li><li>Enhance data visualization skills for effective communication of insights.</li></ul><p>Invest in your future by enrolling today and gain a competitive edge in the rapidly evolving field of data science.</p><p><strong>Why Choose Our Data Science </strong>b<strong>und;e?</strong></p><ul><li>Get a <strong>Free CPD Accredited Certificate</strong> upon completion of Data Science</li><li>Get a <strong>free student ID card</strong> with Data Science Training</li><li>The Data Science is affordable and simple to understand</li><li><strong>Lifetime access</strong> to the Data Science course materials</li><li>The Data Science comes with 24/7 tutor support</li></ul> <p>Start your learning journey straightaway!</p><p><strong>*** Course Curriculum ***</strong></p><p><strong> Course 01: Complete Data Science</strong></p><ul><li>Welcome, Course Introduction &amp; overview, and Environment set-up</li><li>Python Essentials</li><li>Python for Data Analysis using NumPy</li><li>Python for Data Analysis using Pandas</li><li>Python for Data Visualization using matplotlib</li><li>Python for Data Visualization using Seaborn</li><li>Python for Data Visualization using pandas</li><li>Python for interactive &amp; geographical plotting using Plotly and Cufflinks</li><li>Capstone Project - Python for Data Analysis &amp; Visualization</li><li>Python for Machine Learning (ML) - scikit-learn - Linear Regression Model</li><li>Python for Machine Learning - scikit-learn - Logistic Regression Model</li><li>Python for Machine Learning - scikit-learn - K Nearest Neighbors</li><li>Python for Machine Learning - scikit-learn - Decision Tree and Random Forests</li><li>Python for Machine Learning - scikit-learn - Support Vector Machines (SVMs)</li><li>Python for Machine Learning - scikit-learn - K Means Clustering</li><li>Python for Machine Learning - scikit-learn - Principal Component Analysis (PCA)</li><li>Recommender Systems - (Additional Topic)</li><li>Natural Language Processing (NLP) - NLTK - (Additional Topic)</li></ul><p><strong> Course 02: Data Science with Python</strong></p><ul><li>Unit 01: Introduction To Python Data Science</li><li>Unit 02: Data Cleaning Packages</li><li>Unit 03: Data Visualization Packages</li></ul><p><strong> Course 03: Information Management</strong></p><ul><li>Module 01: Introduction To Information Management</li><li>Module 02: Information Management Strategy</li><li>Module 03: Databases And Information Management</li><li>Module 04: Management Information Systems (MIS)</li><li>Module 05: Auditing Information Systems</li><li>Module 06: Ethical And Social Issues And Data Protection</li></ul><p><strong> Course 04: GDPR Data Protection</strong></p><ul><li>Module 01: Basics Of GDPR</li><li>Module 02: Principles Of GDPR</li><li>Module 03: Legal Foundation For Processing</li><li>Module 04: Rights Of Individuals</li><li>Module 05: Accountability And Governance</li><li>Module 06: Data Protection Officer</li><li>Module 07: Security Of Data</li><li>Module 08: Personal Data Breaches</li><li>Module 09: International Data Transfers After The Brexit</li><li>Module 10: Exemptions - Part One</li></ul><p>and much more...</p><p><strong>How will I get my Certificate?</strong></p><p>After successfully completing the course, you will be able to order your Certificates as proof of your achievement.</p><ul><li><strong>PDF Certificate: Free</strong> (Previously it was £12.99*4 = £51)</li><li><strong>CPD Hard Copy Certificate: </strong><strong>£29.99 </strong>(Each)</li></ul> <h2>
        
        <div>CPD</div>
    </h2>

                        <div id="cpd">
                            <div>
                                <div>
                                    <div>
                                        40 CPD hours / points
                                    </div>
                                        <div>
                                            Accredited by CPD Quality Standards
                                        </div>
                                </div>
                            </div>
                        </div> <h2>
        
        <div>Who is this course for?</div>
    </h2>

                        <div id="who_is_this_course_for">
                            <p>This Data Science bundle is suitable for everyone. This bundle is ideal for:</p><ul><li>Data scientist</li><li>Data analyst-statistician</li><li>CSE Students</li><li>Interns</li><li>App Developer</li><li>Coders'</li></ul>
                        </div> <h2>
        
        <div>Requirements</div>
    </h2>

                        <div id="requirements">
                            <p>You will not need any prior background or expertise to enrol in this Data Science bundle.</p>
                        </div> <h2>
        
        <div>Career path</div>
    </h2>

                        <div id="career_path">
                            <p>This Data Science Training bundle will allow you to kickstart or take your career in the related sector to the next stage.</p><ul><li>Data Analyst</li><li>Data Scientist</li><li>Business Analyst</li><li>Marketing Analyst</li><li>Data Engineer</li></ul>
                        </div> <h2>
        
        <div>Certificates</div>
    </h2>

                        <div id="optional_extras">
                                    <h4>CPD Accredited Digital Certificate</h4>
        <p>
            Digital certificate -
            Included
        </p>
            <div><p>Upon passing the Course, you need to order a <strong>Digital Certificate</strong> for each of the courses inside this bundle as proof of your new skills that are accredited by <strong>CPD QS </strong>for Free.</p></div>
        <h4>CPD Accredited Hard Copy Certificate</h4>
        <p>
            Hard copy certificate -
            £29
        </p>
            <div><p><em>Please note that International students have to pay an additional £10 as a shipment fee.</em><em><br /></em></p></div>

                        </div>

Academy for Health and Fitness

Complete Data Science - CPD Certified

General Admission

Packt

Web Development

Python

The course helps you learn how to program with Python without any prior experience. The course also emphasizes learning the Django framework. You'll work on 4 major projects that will ensure that you have acquired and implemented your newly added skills to make Python-based websites with Django.

The Complete Python Course including the Django Web Framework

PostgreSQL

Database Programming

Build 9 projects to master 2 essential and modern technologies: Python and PostgreSQL

The Complete Python and PostgreSQL Developer Course

<p>Data Science with Python bundle course teaches you everything on the Data Science with Python topic thoroughly from scratch so you can achieve a certificate for free to showcase your achievement in professional life.</p><p>This Data Science with Python bundle course is a comprehensive course designed to provide a detailed understanding of the nature of the Data Science with Python related sector and your key roles within it.</p><p>The training materials of this Data Science with Python course are available online for you to learn at your own pace and fast-track your career with ease.</p><p><strong>Key Features of </strong><strong>Data Science with Python </strong><strong>Bundle</strong></p><ul><li>CPD Accredited Data Science with Python Course</li><li>Instant PDF certificate</li><li>Fully online, interactive Data Science with Pythoncourse</li><li>Self-paced learning and laptop, tablet, smartphone-friendly</li><li>24/7 Learning Assistance</li><li>Discounts on bulk purchases</li></ul><p><strong>Enrol now in this </strong><strong>Data Science with Python</strong><strong> Bundle course to excel! </strong></p><p>To become successful in your profession, you must have a specific set of Data Science with Python skills to succeed in today's competitive world. In this in-depth Data Science with Pythontraining course, you will develop the most in-demand Data Science with Python skills to kickstart your career, as well as upgrade your existing knowledge &amp; skills.</p><p><strong>Data Science with Python </strong><strong>Curriculum</strong></p><ul><li><strong>Course 01:</strong> Data Analytics</li><li><strong>Course 02:</strong> Python Programming: Beginner To Expert</li><li><strong>Course 03:</strong> Complete Java</li><li><strong>Course 04:</strong> Machine Learning Basics</li></ul><p><strong>Accreditation</strong></p><p>This Data Science with Python bundle courses are CPD accredited, providing you with up-to-date skills and knowledge and helping you to become more competent and effective in your chosen field.</p><p><strong>Certification</strong></p><p>Once you've successfully completed your Data Science with Python course, you will immediately be sent a digital certificate. Also, you can have your printed certificate delivered by post (shipping cost £3.99).</p><h2>
        
        <div>CPD</div>
    </h2>

                        <div id="cpd">
                            <div>
                                <div>
                                    <div>
                                        50 CPD hours / points
                                    </div>
                                        <div>
                                            Accredited by CPD Quality Standards
                                        </div>
                                </div>
                            </div>
                        </div><h2>
        
        <div>Who is this course for?</div>
    </h2>

                        <div id="who_is_this_course_for">
                            <p>This course is ideal for all employees or anyone who genuinely wishes to learn more about Data Science with Python basics.</p>
                        </div><h2>
        
        <div>Requirements</div>
    </h2>

                        <div id="requirements">
                            <p>No prior degree or experience is required to enrol in this course.</p>
                        </div><h2>
        
        <div>Career path</div>
    </h2>

                        <div id="career_path">
                            <p>This Data Science with Python Course will help you to explore avariety of career paths in the related industry.</p>
                        </div><h2>
        
        <div>Certificates</div>
    </h2>

                        <div id="optional_extras">
                                    <h4>Digital certificate</h4>
        <p>
            Digital certificate -
            Included
        </p>
        <h4>Hardcopy Certificate</h4>
        <p>
            Hard copy certificate -
            Included
        </p>
            <div><p><strong>Hardcopy Certificate (UK Delivery):</strong></p><p>For those who wish to have a physical token of their achievement, we offer a high-quality, printed certificate. This hardcopy certificate is also provided free of charge. However, please note that delivery fees apply. If your shipping address is within the United Kingdom, the delivery fee will be only <strong>£3.99</strong>.</p><p><strong>Hardcopy Certificate (International Delivery):</strong></p><p>For all international addresses outside of the United Kingdom, the delivery fee for a hardcopy certificate will be only <strong>£10</strong>.</p></div>

                        </div>

Training Express

Data Science with Python Course

<strong>Step into the world of data analysis and gain practical experience analyzing real-world datasets with the help of this course. This course will not only guide you in analyzing data efficiently in Python from scratch but also help you in conducting your own analysis with Python and extracting valuable insights that can transform your business!</strong>
        <p>Data analysis is a critical skill and is getting more popular. Nowadays, every organization has some data. Data could be extremely useful, but not without appropriate analysis. Data analysis enables us to transform data into insights for businesses to make informative decisions.

You can find data analysis being used in every industry, be it healthcare, finance, or technology. Python is one of the most in-demand skills for data science by employers. It is not only easy to learn but also powerful.

The course follows the approach of rather than dumping all the available Python libraries or functions to you, we picked only the most useful ones based on our industry experience to cover in the course. This allows you to focus and master the foundations. Besides Python programming, you will also get exposed to the basic statistical knowledge necessary for data analysis. Combined with detailed video lectures, you will be given a few projects to work on to reinforce your knowledge.

By the end of the course, you will have a solid foundation of data analysis, and be able to use Python for the complete process.

All resources and code files are placed here: https://github.com/PacktPublishing/Python-for-Data-Analysis-step-by-step-with-projects-</p>
        <h2>What You Will Learn</h2><p>Learn to use Python for data analysis<br>Explore Python data analysis libraries (Pandas, Scikit-learn, Seaborn)<br>Learn about time data series in Python<br>Create data visualizations in Python<br>Learn to calculate summary statistics<br>Learn how to clean, manipulate, and transform data</p>
        <h2>Audience</h2><p>This course is helpful for anyone interested in analyzing data effectively. You want to become a data analyst or a data scientist, or you just want the skills to work on your projects.<br><br>This course is beginner friendly. However, we recommend you have some basic knowledge of Python or at least another programming language.</p>
        <h2>Approach</h2><p>This course offers 10 hours of HD video lectures, detailed code notebooks, and 3 guided practice projects, based on multiple real-world datasets.</p>
        <h2>Key Features</h2><p>Experience analyzing real-world datasets in lectures and guided projects * The course is arranged in different sections based on the step-by-step process of REAL data analysis * Get exposed to basic statistical knowledge necessary for data analysis</p>
        <h2>Github Repo</h2><p>https://github.com/PacktPublishing/Python-for-Data-Analysis-step-by-step-with-projects-</p>
        <h2>About the Author</h2><h3>Just Into Data</h3><p>Just Into Data is the brainchild of Justin and Lianne. Justin is an experienced data scientist in many different fields, such as marketing, anti-money laundering, and big data technologies. He also has a bachelor's degree in computer engineering and a master's degree in statistics.

Lianne is an experienced statistician who has worked in the central bank as well as commercial banks, where she monitored major financial institutions and conducted fraud analysis. She has both a bachelor's and a master's degree in statistics.</p>
        <h2>Course Outline</h2><h4>1. Let's get started!</h4><p></p><br><h4>2. Python crash course (optional)</h4><p></p><br><h4>3. Importing data</h4><p></p><br><h4>4. Exploring data (manipulation)</h4><p></p><br><h4>5. Capstone practice project I</h4><p></p><br><h4>6. Cleaning data</h4><p></p><br><h4>7. Transforming columns/features</h4><p></p><br><h4>8. Capstone practice project II</h4><p></p><br><h4>9. Exploring data (Exploratory Data Analysis)</h4><p></p><br><h4>10. Capstone practice project III</h4><p></p><br><h4>11. Bonus section: congrats and thank you!</h4><p></p>

Data Visualization

Pandas

Step into the world of data analysis and gain practical experience analyzing real-world datasets with the help of this course. This course will not only guide you in analyzing data efficiently in Python from scratch but also help you in conducting your own analysis with Python and extracting valuable insights that can transform your business!

Python for Data Analysis: Step-By-Step with Projects

<strong>Work with tables, partition, indexes, encryption, and database administration in the AWS Cloud with AWS DynamoDB</strong>
        <p>With a rise in the demand for database administrators, there is already a serious shortage of hirable talent. Simply put, there's a massive opportunity for you to get equipped with the right skillset so that you can join talent-hungry large fintech companies or startups and be at the forefront of global innovation. You can even launch unique businesses or application development services for the next generation or enjoy plush paying cool projects powered by DynamoDB database. Whatever your choice may be, AWS DynamoDB will be your key to financial success and the growth of the community as a whole! 
Why AWS DynamoDB? 
Over the years, NoSQL databases have gained high popularity. DynamoDB is a trending NoSQL database that can be used for a variety of application workloads. Be it a web application, a backend application, or a mobile application, DynamoDB can offload all your administrative work, as it is completely managed by AWS. Most companies use DynamoDB to power their products at scale, and a huge number of AWS customers use it for mobile, web, gaming, ad tech, IoT, and many other applications that require a low-latency data access. Furthermore, big companies like Netflix, Expedia, Comcast, and Redfin use DynamoDB as their NoSQL database storage. Now you know why it's important to learn DynamoDB! 
What sets us apart? 
This AWS DynamoDB course does not assume any expertise in databases. We give you step-by-step instructions, handholding you through all the exercises, so you can follow along and understand exactly how DynamoDB and NoSQL databases come together. 
&bull;	Practical demo tutorials: Where most courses simply bombard you with dense theory and set you on your way, we believe in developing a deep understanding of not only what you're doing, but also why you're doing it. This course focuses on building your understanding of the inner working of DynamoDB. 
&bull;	Real-world knowledge: This course is designed to pass on our experience of working with real startups and projects, along with insights into the problems that engineers and architects face. Each module is comprised of in-depth demos and walkthroughs to help you develop the skills to build your own application powered by DynamoDB. Practice truly does make perfect. 
All the code and supporting files for this course are available at -https://github.com/PacktPublishing/Managed-NoSQL-Database-In-The-Cloud---Amazon-AWS-DynamoDB</p>
        <h2>What You Will Learn</h2><p>Learn DynamoDB concepts and their real-time uses <br>Create DynamoDB tables and indexes <br>Implement disaster recovery using global tables <br>Secure data using encryption at rest <br>Know how to use DynamoDB APIs in Python programming language</p>
        <h2>Audience</h2><p>This course is for AWS developers and admins who want to master DynamoDB or build apps with DynamoDB as backend. Architects looking to integrate DynamoDB and other AWS services will also find this course useful</p>
        <h2>Approach</h2><p>This course includes practical demo tutorials and takes you through the exercises in a step-by-step manner to help to understand the significance of each step and how DynamoDB and NoSQL databases come together.</p>
        <h2>Key Features</h2><p>Learn with the help of demo tutorials  * Become an expert in AWS DynamoDB with this step-by-step tutorial</p>
        <h2>Github Repo</h2><p>https://github.com/packtpublishing/managed-nosql-database-in-the-cloud---amazon-aws-dynamodb</p>
        <h2>About the Author</h2><h3>Manuj Aggarwal</h3><p>Manuj Aggarwal is an entrepreneur, investor, and technology enthusiast. Over the last few years, he has been a business owner, technical architect, CTO, coder, start up consultant, and more.

Currently, he is the principal consultant, architect, and CTO of a software consulting company, TetraNoodle Technologies, based in Vancouver, Canada. He works with various start-ups on a number of cutting edge and interesting problems. Whether it is ideation and the refining of your start up idea, or building a dream team to execute the idea, he provides a diverse set of solutions that help these start-ups to succeed in their plans.

He has been active in the software industry since 1997, and has worked with early-stage businesses through to Fortune 100 mega-corporations. He is passionate about sharing all the knowledge that he has acquired over the years. He is particularly interested in helping technical and non-technical entrepreneurs, founders, and co-founders of tech start-ups.</p>
        <h2>Course Outline</h2><h4>1. Introduction</h4><p></p><table width='100%'><tbody><tr><td style='padding: 15px;'><p>1. Introduction</p><p style='margin: 0'>Introduction: Introduction</p></td></tr><tr><td style='padding: 15px;'><p>2. Course Overview</p><p style='margin: 0'>Introduction: Course Overview</p></td></tr><tr><td style='padding: 15px;'><p>3. What Are You Going To Learn</p><p style='margin: 0'>Introduction: What Are You Going To Learn</p></td></tr><tr><td style='padding: 15px;'><p>4. Unique Features</p><p style='margin: 0'>Introduction: Unique Features</p></td></tr><tr><td style='padding: 15px;'><p>5. Who Uses This</p><p style='margin: 0'>Introduction: Who Uses This</p></td></tr><tr><td style='padding: 15px;'><p>6. Download Resources</p><p style='margin: 0'>Introduction: Download Resources</p></td></tr><tr><td style='padding: 15px;'><p>7. Recap</p><p style='margin: 0'>Introduction: Recap</p></td></tr></tbody></table><br><h4>2. Environment Setup DynamoDB</h4><p></p><table width='100%'><tbody><tr><td style='padding: 15px;'><p>1. DynamoDB Console Walkthrough And CLI Setup</p><p style='margin: 0'>Environment Setup DynamoDB: DynamoDB Console Walkthrough And CLI Setup</p></td></tr><tr><td style='padding: 15px;'><p>2. Installing Python</p><p style='margin: 0'>Environment Setup DynamoDB: Installing Python</p></td></tr></tbody></table><br><h4>3. Creating Tables, Indexes and Partitions</h4><p></p><table width='100%'><tbody><tr><td style='padding: 15px;'><p>1. Creating Tables</p><p style='margin: 0'>Creating Tables, Indexes and Partitions: Creating Tables</p></td></tr><tr><td style='padding: 15px;'><p>2. Insert Data using Python Script</p><p style='margin: 0'>Creating Tables, Indexes and Partitions: Insert Data using Python Script</p></td></tr><tr><td style='padding: 15px;'><p>3. Data Representation in JSON</p><p style='margin: 0'>Creating Tables, Indexes and Partitions: Data Representation in JSON</p></td></tr><tr><td style='padding: 15px;'><p>4. Create GSI using AWS Console</p><p style='margin: 0'>Creating Tables, Indexes and Partitions: Create GSI using AWS Console</p></td></tr><tr><td style='padding: 15px;'><p>5. Create LSI using AWS CLI</p><p style='margin: 0'>Creating Tables, Indexes and Partitions: Create LSI using AWS CLI</p></td></tr><tr><td style='padding: 15px;'><p>6. Create GSI using AWS CLI</p><p style='margin: 0'>Creating Tables, Indexes and Partitions: Create GSI using AWS CLI</p></td></tr></tbody></table><br><h4>4. Develop in DynamoDB using APIs</h4><p></p><table width='100%'><tbody><tr><td style='padding: 15px;'><p>1. Using Administrative APIs in DynamoDB</p><p style='margin: 0'>Develop in DynamoDB using APIs: Using Administrative APIs in DynamoDB</p></td></tr><tr><td style='padding: 15px;'><p>2. Python Program to use APIs</p><p style='margin: 0'>Develop in DynamoDB using APIs: Python Program to use APIs</p></td></tr><tr><td style='padding: 15px;'><p>3. DynamoDB Developer APIs Lab</p><p style='margin: 0'>Develop in DynamoDB using APIs: DynamoDB Developer APIs Lab</p></td></tr><tr><td style='padding: 15px;'><p>4. Use Project, Filter and Update Attributes in DynamoDB - 1</p><p style='margin: 0'>Develop in DynamoDB using APIs: Use Project, Filter and Update Attributes in DynamoDB - 1</p></td></tr><tr><td style='padding: 15px;'><p>5. Use Project, Filter and Update Attributes in DynamoDB - 2</p><p style='margin: 0'>Develop in DynamoDB using APIs: Use Project, Filter and Update Attributes in DynamoDB - 2</p></td></tr><tr><td style='padding: 15px;'><p>6. Use Project, Filter and Update Attributes in DynamoDB - 3</p><p style='margin: 0'>Develop in DynamoDB using APIs: Use Project, Filter and Update Attributes in DynamoDB - 3</p></td></tr><tr><td style='padding: 15px;'><p>7. Scan A Table and Expire an Item</p><p style='margin: 0'>Develop in DynamoDB using APIs: Scan A Table and Expire an Item</p></td></tr></tbody></table><br><h4>5. Replication, Global Tables and Encryption</h4><p></p><table width='100%'><tbody><tr><td style='padding: 15px;'><p>1. Master-Slave & Master-Master Replications</p><p style='margin: 0'>Replication, Global Tables and Encryption: Master-Slave & Master-Master Replications</p></td></tr><tr><td style='padding: 15px;'><p>2. Create Global Tables in DynamoDB</p><p style='margin: 0'>Replication, Global Tables and Encryption: Create Global Tables in DynamoDB</p></td></tr><tr><td style='padding: 15px;'><p>3. Encryption</p><p style='margin: 0'>Replication, Global Tables and Encryption: Encryption</p></td></tr></tbody></table><br><h4>6. Administration Resources in DynamoDB</h4><p></p><table width='100%'><tbody><tr><td style='padding: 15px;'><p>1. DynamoDB Admin</p><p style='margin: 0'>Administration Resources in DynamoDB: DynamoDB Admin</p></td></tr><tr><td style='padding: 15px;'><p>2. Backup and Restore Tables in DynamoDB</p><p style='margin: 0'>Administration Resources in DynamoDB: Backup and Restore Tables in DynamoDB</p></td></tr><tr><td style='padding: 15px;'><p>3. Reads from Application</p><p style='margin: 0'>Administration Resources in DynamoDB: Reads from Application</p></td></tr><tr><td style='padding: 15px;'><p>4. Capacity Units, Screening and Cloudwatch</p><p style='margin: 0'>Administration Resources in DynamoDB: Capacity Units, Screening and Cloudwatch</p></td></tr></tbody></table>

Work with tables, partition, indexes, encryption, and database administration in the AWS Cloud with AWS DynamoDB

Managed NoSQL Database In The Cloud - Amazon AWS DynamoDB

London

<div style="color: rgb(57, 54, 79); box-sizing: border-box;" id="isPasted" fr-original-style=" color: rgb(57, 54, 79);"><div data-testid="summary" id="isPasted" fr-original-style="" style="box-sizing: border-box;"><div data-testid="summary" id="isPasted" fr-original-style="" style="box-sizing: border-box;"><p fr-original-style="" style="color: var(--text); font-size: var(--font-size); box-sizing: border-box;"><strong fr-original-style="" style="font-weight: 700; box-sizing: border-box;">Powerful 1-hour Python workshop course understand Python Basics. Practical. Instructor-led. Online.</strong></p></div><div data-testid="organizerBrief" fr-original-style="" style="box-sizing: border-box;"><div data-testid="creator-signal-main-section" fr-original-style="" style="box-sizing: border-box;"><section fr-original-style="" style="box-sizing: border-box;"><br fr-original-style="" style="box-sizing: border-box;"></section></div></div></div><hr fr-original-style="" style="border-color: var(--border-muted); border-style: solid; clear: both; break-after: page; user-select: none; box-sizing: border-box;"><h1 style="color: rgb(57, 54, 79); box-sizing: border-box;" id="isPasted" fr-original-style=" color: rgb(57, 54, 79);">Learn to code a Password Validator in 1 hour.&nbsp;</h1><p style="color: rgb(111, 114, 135); font-size: var(--font-size); box-sizing: border-box;" fr-original-style=" color: rgb(111, 114, 135);">Basics made simple! &nbsp;Learn plenty in one day: Code A Password Validator</p><ul style="color: rgb(111, 114, 135); box-sizing: border-box;" fr-original-style=" color: rgb(111, 114, 135);"><li fr-original-style="" style="box-sizing: border-box;">Essentials of Python programming.</li><li fr-original-style="" style="box-sizing: border-box;">Practical lessons and exercises.</li><li fr-original-style="" style="box-sizing: border-box;">Great Tutors.&nbsp;</li><li fr-original-style="" style="box-sizing: border-box;">Online.</li><li fr-original-style="" style="box-sizing: border-box;">You may Request a Central London Location, per email</li></ul><p style="color: rgb(111, 114, 135); font-size: var(--font-size); box-sizing: border-box;" fr-original-style=" color: rgb(111, 114, 135);"><strong fr-original-style="" style="font-weight: 700; box-sizing: border-box;">Who will the Course Benefit?</strong></p><ul style="color: rgb(111, 114, 135); box-sizing: border-box;" fr-original-style=" color: rgb(111, 114, 135);"><li fr-original-style="" style="box-sizing: border-box;">This is a fantastic course for beginners</li><li fr-original-style="" style="box-sizing: border-box;">Or for coders, simply fast-track crossing over to Python.</li></ul><p style="color: rgb(111, 114, 135); font-size: var(--font-size); box-sizing: border-box;" fr-original-style=" color: rgb(111, 114, 135);"><strong fr-original-style="" style="font-weight: 700; box-sizing: border-box;">Teaching Style:&nbsp;</strong>Practical, Interactive, Personalised. Useful examples.</p><p style="color: rgb(111, 114, 135); font-size: var(--font-size); box-sizing: border-box;" fr-original-style=" color: rgb(111, 114, 135);"><strong fr-original-style="" style="font-weight: 700; box-sizing: border-box;">What is included?</strong></p><ul style="color: rgb(111, 114, 135); box-sizing: border-box;" fr-original-style=" color: rgb(111, 114, 135);"><li fr-original-style="" style="box-sizing: border-box;">Course notes, exercises and examples.</li><li fr-original-style="" style="box-sizing: border-box;">Course certificate.</li></ul><h2 style="color: rgb(30, 10, 60); box-sizing: border-box;" fr-original-style=" color: rgb(30, 10, 60);"><strong fr-original-style="" style="font-weight: 700; box-sizing: border-box;">Learn Python by coding a Password Validator</strong></h2><p style="color: rgb(111, 114, 135); font-size: var(--font-size); box-sizing: border-box;" fr-original-style=" color: rgb(111, 114, 135);"><strong fr-original-style="" style="font-weight: 700; box-sizing: border-box;">STEP 1:&nbsp;</strong>Using variables. Arithmetic operations. Strings. String Functions</p><p style="color: rgb(111, 114, 135); font-size: var(--font-size); box-sizing: border-box;" fr-original-style=" color: rgb(111, 114, 135);"><strong fr-original-style="" style="font-weight: 700; box-sizing: border-box;">STEP 2:&nbsp;</strong>Getting user input from console. Decision Making(If-else)</p><p style="color: rgb(111, 114, 135); font-size: var(--font-size); box-sizing: border-box;" fr-original-style=" color: rgb(111, 114, 135);"><strong fr-original-style="" style="font-weight: 700; box-sizing: border-box;">STEP 3:&nbsp;</strong>For and While Loops. Repeat code by using loops.</p><p style="color: rgb(111, 114, 135); font-size: var(--font-size); box-sizing: border-box;" fr-original-style=" color: rgb(111, 114, 135);"><strong fr-original-style="" style="font-weight: 700; box-sizing: border-box;">STEP 4:&nbsp;</strong>Lists: Create, Update, Iterate Lists. Using indexes to refer to individual values.</p><p style="color: rgb(111, 114, 135); font-size: var(--font-size); box-sizing: border-box;" fr-original-style=" color: rgb(111, 114, 135);"><strong fr-original-style="" style="font-weight: 700; box-sizing: border-box;">STEP 5:&nbsp;</strong>Object Oriented Programming. Functions. Classes.</p><p style="color: rgb(111, 114, 135); font-size: var(--font-size); box-sizing: border-box;" fr-original-style=" color: rgb(111, 114, 135);"><strong fr-original-style="" style="font-weight: 700; box-sizing: border-box;">STEP 6:&nbsp;</strong>Create the Password Validator</p></div><p fr-original-style="" style="color: var(--text); font-size: var(--font-size); box-sizing: border-box;"><br fr-original-style="" style="box-sizing: border-box;"></p><div style="color: rgb(30, 10, 60); box-sizing: border-box;" id="isPasted" fr-original-style=" color: rgb(30, 10, 60);"><hr fr-original-style="" style="border-color: var(--border-muted); border-style: solid; clear: both; break-after: page; user-select: none; box-sizing: border-box;"><h2 fr-original-style="" style="box-sizing: border-box;">Refund Policy</h2></div><div style="color: rgb(111, 114, 135); box-sizing: border-box;" fr-original-style=" color: rgb(111, 114, 135);">No Refunds</div>

Pcw Courses Ltd

Python Taster 1-hour, Create a Password Validator

Python Basics 1-days Online Instructor-Led

Data Science

Data Analysis

Welcome to the data manipulation in Python course. Our goal in this course is to provide you with all the tools and skills   necessary to master Python, NumPy, and Pandas for data science. No previous skills or expertise are required. Only a drive to succeed!

Data Manipulation in Python - Master Python, NumPy, and Pandas

<h2 style="color: var(--text-heading); box-sizing: border-box;" id="isPasted" fr-original-style="color: var(--text-heading);"><strong fr-original-style="" style="font-weight: 700; box-sizing: border-box;"><span style="font-size: 24px; box-sizing: border-box;" fr-original-style="font-size: 24px;">This course at a glance</span></strong></h2><ul style="color: rgb(0, 0, 0); box-sizing: border-box;" fr-original-style="color: rgb(0, 0, 0);"><li style="color: rgb(0, 0, 0); box-sizing: border-box;" fr-original-style="color: rgb(0, 0, 0);">Accredited by CPDQE</li><li id="isPasted" fr-original-style="" style="box-sizing: border-box;"><span style="color: rgb(38, 99, 82) !important; box-sizing: border-box;" fr-original-style=" color: rgb(38, 99, 82) !important;">Build a solid foundation in Python programming basics.</span></li><li fr-original-style="" style="box-sizing: border-box;"><span style="color: rgb(38, 99, 82) !important; box-sizing: border-box;" fr-original-style=" color: rgb(38, 99, 82) !important;">Master Python strings, operators, and sequence handling.</span></li><li fr-original-style="" style="box-sizing: border-box;"><span style="color: rgb(38, 99, 82) !important; box-sizing: border-box;" fr-original-style=" color: rgb(38, 99, 82) !important;">Develop proficiency in control flow statements for robust coding.</span></li><li fr-original-style="" style="box-sizing: border-box;"><span style="color: rgb(38, 99, 82) !important; box-sizing: border-box;" fr-original-style=" color: rgb(38, 99, 82) !important;">Create engaging games as practical Python applications.</span></li><li fr-original-style="" style="box-sizing: border-box;"><span style="color: rgb(38, 99, 82) !important; box-sizing: border-box;" fr-original-style=" color: rgb(38, 99, 82) !important;">Implement Python functions and regular expressions effectively.</span></li><li fr-original-style="" style="box-sizing: border-box;"><span style="color: rgb(38, 99, 82) !important; box-sizing: border-box;" fr-original-style=" color: rgb(38, 99, 82) !important;">Gain hands-on experience with file structures and a comprehensive Python project.</span></li></ul><div data-id="4afcd14" data-element_type="widget" data-widget_type="text-editor.default" style="color: rgb(35, 35, 35); box-sizing: border-box;" id="isPasted" fr-original-style=" color: rgb(35, 35, 35);"><div data-id="4afcd14" data-element_type="widget" data-widget_type="text-editor.default" style="color: rgb(35, 35, 35); box-sizing: border-box;" id="isPasted" fr-original-style=" color: rgb(35, 35, 35);"><div data-id="4afcd14" data-element_type="widget" data-widget_type="text-editor.default" style="color: rgb(35, 35, 35); box-sizing: border-box;" id="isPasted" fr-original-style=" color: rgb(35, 35, 35);"><div data-id="4afcd14" data-element_type="widget" data-widget_type="text-editor.default" style="color: rgb(35, 35, 35); box-sizing: border-box;" id="isPasted" fr-original-style=" color: rgb(35, 35, 35);"><div data-id="4afcd14" data-element_type="widget" data-widget_type="text-editor.default" style="color: rgb(35, 35, 35); box-sizing: border-box;" id="isPasted" fr-original-style=" color: rgb(35, 35, 35);"><div data-id="4afcd14" data-element_type="widget" data-widget_type="text-editor.default" style="color: rgb(35, 35, 35); box-sizing: border-box;" id="isPasted" fr-original-style=" color: rgb(35, 35, 35);"><p style="color: rgb(38, 99, 82) !important; font-size: var(--font-size); box-sizing: border-box;" id="isPasted" fr-original-style=" color: rgb(38, 99, 82) !important;">&ldquo;Python Programming Level 2&rdquo; is crafted to elevate your programming skills to the next level, providing a deeper dive into the world of Python. Whether you&rsquo;re looking to enhance your coding expertise for professional development or personal interest, this course offers a comprehensive pathway.</p><p style="color: rgb(38, 99, 82) !important; font-size: var(--font-size); box-sizing: border-box;" fr-original-style=" color: rgb(38, 99, 82) !important;">Start with &ldquo;Introduction to Python and Setting Up,&rdquo; which ensures you have the right foundation and tools to proceed. &ldquo;Python Basic&rdquo; revisits and reinforces core concepts, setting the stage for more advanced topics.</p><p style="color: rgb(38, 99, 82) !important; font-size: var(--font-size); box-sizing: border-box;" fr-original-style=" color: rgb(38, 99, 82) !important;">&ldquo;Python Strings&rdquo; and &ldquo;Python Operators&rdquo; delve into more complex aspects of Python, enabling you to manipulate text and perform various operations effectively. &ldquo;Python Sequences&rdquo; and &ldquo;Python Statements&rdquo; further your understanding of Python&rsquo;s capabilities in handling data and executing commands.</p><p style="color: rgb(38, 99, 82) !important; font-size: var(--font-size); box-sizing: border-box;" fr-original-style=" color: rgb(38, 99, 82) !important;">Critical to any programming language is the control of flow. &ldquo;Python Control Flow Statements&rdquo; teaches you to direct the execution paths of your programs, a crucial skill for any programmer. Then, add a fun dimension to your learning with &ldquo;Python Games for Beginners,&rdquo; where you apply your skills to create engaging games.</p><p style="color: rgb(38, 99, 82) !important; font-size: var(--font-size); box-sizing: border-box;" fr-original-style=" color: rgb(38, 99, 82) !important;">Building on these skills, &ldquo;Python Functions&rdquo; introduces the concept of reusable code blocks, enhancing your efficiency and coding style. &ldquo;Working with File Structure&rdquo; and &ldquo;Regular Expressions&rdquo; provide essential skills in managing data and patterns within Python.</p><p style="color: rgb(38, 99, 82) !important; font-size: var(--font-size); box-sizing: border-box;" fr-original-style=" color: rgb(38, 99, 82) !important;">The course culminates in a &ldquo;Python Project,&rdquo; where you&rsquo;ll bring together all the elements you&rsquo;ve learned in a practical, hands-on application. This project solidifies your learning and gives you a tangible piece of work to showcase your new skills.</p><p style="color: rgb(38, 99, 82) !important; font-size: var(--font-size); box-sizing: border-box;" fr-original-style=" color: rgb(38, 99, 82) !important;">By the end of this course, you&rsquo;ll not only have a deeper understanding of Python but also practical experience in applying your knowledge to real-world scenarios. Enroll now and take your Python skills to new heights!</p></div></div></div></div></div></div><h3 style="color: rgb(0, 0, 0); box-sizing: border-box;" fr-original-style=" color: rgb(0, 0, 0);"><span style="font-size: 24px; box-sizing: border-box;" fr-original-style="font-size: 24px;">Accredited by</span></h3><p style="color: rgb(15, 21, 26); font-size: var(--font-size); box-sizing: border-box;" fr-original-style=" color: rgb(15, 21, 26);">This course is <strong fr-original-style="" style="font-weight: 700; box-sizing: border-box;">CPDQE&nbsp;</strong>accredited, which serves as an impactful mechanism for skill enhancement.&nbsp;</p><p style="color: rgb(0, 0, 0); font-size: var(--font-size); box-sizing: border-box;" fr-original-style=" color: rgb(0, 0, 0);">Continuing Professional Development (CPD) stands as a crucial, widely acknowledged method that aids individuals, organisations, and entire industries in staying current with their skills and knowledge.</p><p style="color: rgb(0, 0, 0); font-size: var(--font-size); box-sizing: border-box;" fr-original-style=" color: rgb(0, 0, 0);">CPD not only facilitates the elevation of global standards and benchmarks, aligning with the growing forces of globalisation and consumer expectations but also transforms learning into a deliberate and proactive process. It motivates professionals to uphold a consistently high level of performance and demonstrates their unwavering commitment to a specific job role or profession.</p><p style="color: rgb(0, 0, 0); font-size: var(--font-size); box-sizing: border-box;" fr-original-style=" color: rgb(0, 0, 0);"><strong fr-original-style="" style="font-weight: 700; box-sizing: border-box;"><span style="font-size: 24px; box-sizing: border-box;" fr-original-style="font-size: 24px;">Course Curriculum</span></strong></p><ul fr-original-style="" style="box-sizing: border-box;"><li id="isPasted" style="font-weight: bold; box-sizing: border-box;" fr-original-style="font-weight: bold;"><strong fr-original-style="" style="font-weight: 700; box-sizing: border-box;">Introduction</strong></li><li style="font-weight: bold; box-sizing: border-box;" fr-original-style="font-weight: bold;"><strong fr-original-style="" style="font-weight: 700; box-sizing: border-box;">Introduction to Python and Setting Up</strong></li><li style="font-weight: bold; box-sizing: border-box;" fr-original-style="font-weight: bold;"><strong fr-original-style="" style="font-weight: 700; box-sizing: border-box;">Python Basic</strong></li><li style="font-weight: bold; box-sizing: border-box;" fr-original-style="font-weight: bold;"><strong fr-original-style="" style="font-weight: 700; box-sizing: border-box;">Python Strings</strong></li><li style="font-weight: bold; box-sizing: border-box;" fr-original-style="font-weight: bold;"><strong fr-original-style="" style="font-weight: 700; box-sizing: border-box;">Python Operators</strong></li><li style="font-weight: bold; box-sizing: border-box;" fr-original-style="font-weight: bold;"><strong fr-original-style="" style="font-weight: 700; box-sizing: border-box;">Python Sequences</strong></li><li style="font-weight: bold; box-sizing: border-box;" fr-original-style="font-weight: bold;"><strong fr-original-style="" style="font-weight: 700; box-sizing: border-box;">Python Statements</strong></li><li style="font-weight: bold; box-sizing: border-box;" fr-original-style="font-weight: bold;"><strong fr-original-style="" style="font-weight: 700; box-sizing: border-box;">Python Control Flow Statements</strong></li><li style="font-weight: bold; box-sizing: border-box;" fr-original-style="font-weight: bold;"><strong fr-original-style="" style="font-weight: 700; box-sizing: border-box;">Python Games for Beginners</strong></li><li style="font-weight: bold; box-sizing: border-box;" fr-original-style="font-weight: bold;"><strong fr-original-style="" style="font-weight: 700; box-sizing: border-box;">Python Functions</strong></li><li style="font-weight: bold; box-sizing: border-box;" fr-original-style="font-weight: bold;"><strong fr-original-style="" style="font-weight: 700; box-sizing: border-box;">Working with File Structure</strong></li><li style="font-weight: bold; box-sizing: border-box;" fr-original-style="font-weight: bold;"><strong fr-original-style="" style="font-weight: 700; box-sizing: border-box;">Regular Expressions</strong></li><li style="font-weight: bold; box-sizing: border-box;" fr-original-style="font-weight: bold;"><strong fr-original-style="" style="font-weight: 700; box-sizing: border-box;">Python Project</strong></li></ul>

LearnDrive UK

Advance your Python skills with Level 2 Programming! From strings and operators to control flow and games, this course sharpens your coding prowess, culminating in a hands-on Python project. Ideal for those seeking to deepen their understanding and application of Python.






Python Programming Level 2

<h2 style="color: var(--text-heading); box-sizing: border-box;" id="isPasted" fr-original-style="color: var(--text-heading);"><strong fr-original-style="" style="font-weight: 700; box-sizing: border-box;"><span style="font-size: 24px; box-sizing: border-box;" fr-original-style="font-size: 24px;">This course at a glance</span></strong></h2><ul style="color: rgb(0, 0, 0); box-sizing: border-box;" fr-original-style="color: rgb(0, 0, 0);"><li style="color: rgb(0, 0, 0); box-sizing: border-box;" fr-original-style="color: rgb(0, 0, 0);">Accredited by CPDQE</li><li id="isPasted" fr-original-style="" style="box-sizing: border-box;"><span style="color: rgb(38, 99, 82) !important; box-sizing: border-box;" fr-original-style=" color: rgb(38, 99, 82) !important;">Acquire a strong foundation in Python programming.</span></li><li fr-original-style="" style="box-sizing: border-box;"><span style="color: rgb(38, 99, 82) !important; box-sizing: border-box;" fr-original-style=" color: rgb(38, 99, 82) !important;">Manipulate various data types and structures like lists and dictionaries.</span></li><li fr-original-style="" style="box-sizing: border-box;"><span style="color: rgb(38, 99, 82) !important; box-sizing: border-box;" fr-original-style=" color: rgb(38, 99, 82) !important;">Master string handling and Python&#39;s date and time functionalities.</span></li><li fr-original-style="" style="box-sizing: border-box;"><span style="color: rgb(38, 99, 82) !important; box-sizing: border-box;" fr-original-style=" color: rgb(38, 99, 82) !important;">Develop proficiency in loops and conditional statements.</span></li><li fr-original-style="" style="box-sizing: border-box;"><span style="color: rgb(38, 99, 82) !important; box-sizing: border-box;" fr-original-style=" color: rgb(38, 99, 82) !important;">Explore the fundamentals and advanced concepts of Object-Oriented Programming (OOP) in Python.</span></li><li fr-original-style="" style="box-sizing: border-box;"><span style="color: rgb(38, 99, 82) !important; box-sizing: border-box;" fr-original-style=" color: rgb(38, 99, 82) !important;">Understand error handling and file management in Python applications.</span></li></ul><div data-id="4afcd14" data-element_type="widget" data-widget_type="text-editor.default" style="color: rgb(35, 35, 35); box-sizing: border-box;" id="isPasted" fr-original-style=" color: rgb(35, 35, 35);"><div data-id="4afcd14" data-element_type="widget" data-widget_type="text-editor.default" style="color: rgb(35, 35, 35); box-sizing: border-box;" id="isPasted" fr-original-style=" color: rgb(35, 35, 35);"><div data-id="4afcd14" data-element_type="widget" data-widget_type="text-editor.default" style="color: rgb(35, 35, 35); box-sizing: border-box;" id="isPasted" fr-original-style=" color: rgb(35, 35, 35);"><div data-id="4afcd14" data-element_type="widget" data-widget_type="text-editor.default" style="color: rgb(35, 35, 35); box-sizing: border-box;" id="isPasted" fr-original-style=" color: rgb(35, 35, 35);"><div data-id="4afcd14" data-element_type="widget" data-widget_type="text-editor.default" style="color: rgb(35, 35, 35); box-sizing: border-box;" id="isPasted" fr-original-style=" color: rgb(35, 35, 35);"><div data-id="4afcd14" data-element_type="widget" data-widget_type="text-editor.default" style="color: rgb(35, 35, 35); box-sizing: border-box;" id="isPasted" fr-original-style=" color: rgb(35, 35, 35);"><p style="color: rgb(55, 65, 81); font-size: var(--font-size); box-sizing: border-box;" id="isPasted" fr-original-style=" color: rgb(55, 65, 81);">Python&rsquo;s versatility and simplicity have made it a favorite among programmers worldwide. Whether you are just starting or looking to strengthen your programming skills, our Diploma in Python Fundamentals course offers a comprehensive curriculum to make you proficient in Python.</p><p style="color: rgb(55, 65, 81); font-size: var(--font-size); box-sizing: border-box;" fr-original-style=" color: rgb(55, 65, 81);">The course begins with an &ldquo;Introduction to Python,&rdquo; setting a solid foundation for your programming journey. As you progress, you&rsquo;ll delve into &ldquo;Working with Data Types&rdquo; and &ldquo;Python Strings,&rdquo; essential modules that form the backbone of Python scripting.</p><p style="color: rgb(55, 65, 81); font-size: var(--font-size); box-sizing: border-box;" fr-original-style=" color: rgb(55, 65, 81);">Data structures are pivotal in programming, and modules like &ldquo;Python List&rdquo; and &ldquo;Python Dictionary&rdquo; are dedicated to ensuring you grasp these concepts thoroughly. &ldquo;Python Casting and Input&rdquo; enhances your ability to manipulate data, a key skill in any programming endeavor.</p><p style="color: rgb(55, 65, 81); font-size: var(--font-size); box-sizing: border-box;" fr-original-style=" color: rgb(55, 65, 81);">Understanding how to control the flow of your program is crucial. &ldquo;Python Loop Part 1&rdquo; and &ldquo;Python Loop Part 2,&rdquo; along with &ldquo;Python While Loop,&rdquo; teach you how to repeat actions effectively. &ldquo;Creating a Function&rdquo; then introduces you to the concept of modular coding, a practice that enhances code readability and reusability.</p><p style="color: rgb(55, 65, 81); font-size: var(--font-size); box-sizing: border-box;" fr-original-style=" color: rgb(55, 65, 81);">Object-Oriented Programming (OOP) is a paradigm that&rsquo;s critical in modern programming. Our course breaks it down into digestible segments in &ldquo;Python OOP Part 1,&rdquo; &ldquo;Python OOP Part 2,&rdquo; &ldquo;Python Advanced OOP Part 1,&rdquo; and &ldquo;Python Advanced OOP Part 2.&rdquo; These modules guide you through the principles of OOP, enabling you to write more efficient and organized code.</p><p style="color: rgb(55, 65, 81); font-size: var(--font-size); box-sizing: border-box;" fr-original-style=" color: rgb(55, 65, 81);">&ldquo;Error Handling&rdquo; and &ldquo;Python File Handling&rdquo; are crucial for developing robust applications, teaching you to manage unexpected events and handle external files effectively. Lastly, &ldquo;Python Modules&rdquo; offers insights into Python&rsquo;s modular architecture, a feature that greatly enhances code management and collaboration.</p><p style="color: rgb(55, 65, 81); font-size: var(--font-size); box-sizing: border-box;" fr-original-style=" color: rgb(55, 65, 81);">By the end of this course, you will not only understand Python&rsquo;s core concepts but also be able to apply them in practical scenarios. This course is your gateway to becoming a proficient Python programmer. Enroll now and start coding your way to success.</p></div></div></div></div></div></div><h3 style="color: rgb(0, 0, 0); box-sizing: border-box;" fr-original-style=" color: rgb(0, 0, 0);"><span style="font-size: 24px; box-sizing: border-box;" fr-original-style="font-size: 24px;">Accredited by</span></h3><p style="color: rgb(15, 21, 26); font-size: var(--font-size); box-sizing: border-box;" fr-original-style=" color: rgb(15, 21, 26);">This course is <strong fr-original-style="" style="font-weight: 700; box-sizing: border-box;">CPDQE&nbsp;</strong>accredited, which serves as an impactful mechanism for skill enhancement.&nbsp;</p><p style="color: rgb(0, 0, 0); font-size: var(--font-size); box-sizing: border-box;" fr-original-style=" color: rgb(0, 0, 0);">Continuing Professional Development (CPD) stands as a crucial, widely acknowledged method that aids individuals, organisations, and entire industries in staying current with their skills and knowledge.</p><p style="color: rgb(0, 0, 0); font-size: var(--font-size); box-sizing: border-box;" fr-original-style=" color: rgb(0, 0, 0);">CPD not only facilitates the elevation of global standards and benchmarks, aligning with the growing forces of globalisation and consumer expectations but also transforms learning into a deliberate and proactive process. It motivates professionals to uphold a consistently high level of performance and demonstrates their unwavering commitment to a specific job role or profession.</p><p style="color: rgb(0, 0, 0); font-size: var(--font-size); box-sizing: border-box;" fr-original-style=" color: rgb(0, 0, 0);"><strong fr-original-style="" style="font-weight: 700; box-sizing: border-box;"><span style="font-size: 24px; box-sizing: border-box;" fr-original-style="font-size: 24px;">Course Curriculum</span></strong></p><ul fr-original-style="" style="box-sizing: border-box;"><li id="isPasted" style="font-weight: bold; box-sizing: border-box;" fr-original-style="font-weight: bold;"><strong fr-original-style="" style="font-weight: 700; box-sizing: border-box;">Section 01: Introduction to Python</strong></li><li style="font-weight: bold; box-sizing: border-box;" fr-original-style="font-weight: bold;"><strong fr-original-style="" style="font-weight: 700; box-sizing: border-box;">Section 02: Working with Data Types</strong></li><li style="font-weight: bold; box-sizing: border-box;" fr-original-style="font-weight: bold;"><strong fr-original-style="" style="font-weight: 700; box-sizing: border-box;">Section 03: Python Strings</strong></li><li style="font-weight: bold; box-sizing: border-box;" fr-original-style="font-weight: bold;"><strong fr-original-style="" style="font-weight: 700; box-sizing: border-box;">Section 04: Python List</strong></li><li style="font-weight: bold; box-sizing: border-box;" fr-original-style="font-weight: bold;"><strong fr-original-style="" style="font-weight: 700; box-sizing: border-box;">Section 05: Python casting and Input</strong></li><li style="font-weight: bold; box-sizing: border-box;" fr-original-style="font-weight: bold;"><strong fr-original-style="" style="font-weight: 700; box-sizing: border-box;">Section 06:Python Dictionary</strong></li><li style="font-weight: bold; box-sizing: border-box;" fr-original-style="font-weight: bold;"><strong fr-original-style="" style="font-weight: 700; box-sizing: border-box;">Section 07: Python Date and Time</strong></li><li style="font-weight: bold; box-sizing: border-box;" fr-original-style="font-weight: bold;"><strong fr-original-style="" style="font-weight: 700; box-sizing: border-box;">Section 08: Python Loop Part 1</strong></li><li style="font-weight: bold; box-sizing: border-box;" fr-original-style="font-weight: bold;"><strong fr-original-style="" style="font-weight: 700; box-sizing: border-box;">Section 09: Python Loop Part 2</strong></li><li style="font-weight: bold; box-sizing: border-box;" fr-original-style="font-weight: bold;"><strong fr-original-style="" style="font-weight: 700; box-sizing: border-box;">Section 10: Python While Loop</strong></li><li style="font-weight: bold; box-sizing: border-box;" fr-original-style="font-weight: bold;"><strong fr-original-style="" style="font-weight: 700; box-sizing: border-box;">Section 11: Creating a Function</strong></li><li style="font-weight: bold; box-sizing: border-box;" fr-original-style="font-weight: bold;"><strong fr-original-style="" style="font-weight: 700; box-sizing: border-box;">Section 12: Python OOP Part 1</strong></li><li style="font-weight: bold; box-sizing: border-box;" fr-original-style="font-weight: bold;"><strong fr-original-style="" style="font-weight: 700; box-sizing: border-box;">Section 13: Python OOP Part 2</strong></li><li style="font-weight: bold; box-sizing: border-box;" fr-original-style="font-weight: bold;"><strong fr-original-style="" style="font-weight: 700; box-sizing: border-box;">Section 14: Python Advanced OOP Part 1</strong></li><li style="font-weight: bold; box-sizing: border-box;" fr-original-style="font-weight: bold;"><strong fr-original-style="" style="font-weight: 700; box-sizing: border-box;">Section 15: Python Advanced OOP Part 2</strong></li><li style="font-weight: bold; box-sizing: border-box;" fr-original-style="font-weight: bold;"><strong fr-original-style="" style="font-weight: 700; box-sizing: border-box;">Section 16: Error handling</strong></li><li style="font-weight: bold; box-sizing: border-box;" fr-original-style="font-weight: bold;"><strong fr-original-style="" style="font-weight: 700; box-sizing: border-box;">Section 17: Python file handling</strong></li><li style="font-weight: bold; box-sizing: border-box;" fr-original-style="font-weight: bold;"><strong fr-original-style="" style="font-weight: 700; box-sizing: border-box;">Section 18: Python modules</strong></li></ul>

Electrical Engineering

Engineering Management

Electrical engineering (EE)

Embark on a journey to master Python with our Diploma in Python Fundamentals course. From basic data types to advanced OOP, learn to code efficiently, handle files, and manage errors in Python. Ideal for beginners and those looking to solidify their programming skills.






























Diploma in Python Programming Fundamentals 

<p>Imagine being able to create your own programs and applications with just a few lines of code. With our "Ultimate Python Programming Masterclass," you'll have the power to do just that. Python is a versatile and powerful programming language that is widely used in industries ranging from finance to artificial intelligence. With modules covering everything from lists and tuples to standard libraries and reference files, you'll be well on your way to mastering Python programming in no time.</p><p>But don't just take our word for it - the proof is in the pudding! Our course is designed with a hands-on approach, giving you the opportunity to apply what you've learned to real-world programming scenarios. Whether you're a seasoned programmer or a complete beginner, our "Ultimate Python Programming Masterclass" course is the perfect way to enhance your skills and take your career to the next level.</p><p>So what are you waiting for? Sign up for the "Ultimate Python Programming Masterclass" today and join the millions of programmers worldwide who are already utilising the power of Python to create innovative solutions and applications.</p><p><strong>Learning Outcomes:</strong></p><ul><li>Understand the fundamentals of Python programming and its applications in various industries.</li><li>Analyse and manipulate data using lists, tuples, strings, and dictionaries in Python.</li><li>Develop programming solutions using Python's standard libraries and reference files.</li><li>Create and implement control flow structures using conditions, loops, and statements.</li><li>Utilise advanced features of Python such as magic methods, properties, and iterators.</li></ul><p>"Ultimate Python Programming Masterclass" is a comprehensive course bundle designed to equip learners with the knowledge and skills necessary to master Python programming. This course covers a range of topics, including data manipulation, control flow structures, and advanced Python features. With a hands-on approach and real-world programming scenarios, learners will develop the ability to create powerful applications and solutions using Python.</p><p>This course bundle is ideal for anyone interested in programming or seeking to enhance their programming skills. Whether you're a student, a professional looking to switch careers, or an experienced programmer seeking to learn a new language, "Ultimate Python Programming Masterclass" is the perfect way to take your skills to the next level.</p><p><strong>â±â± Ultimate Python Programming Masterclass</strong><strong> Course Curriculum </strong></p><ul><li><strong>Section 01:</strong> Introduction to Python Programming<strong><br /></strong></li><li><strong>Section 02:</strong> Lists &amp; Tuples<strong><br /></strong></li><li><strong>Section 03: </strong>Strings<strong><br /></strong></li><li><strong>Section 04: </strong>Dictionaries<strong><br /></strong></li><li><strong>Section 05: </strong>Dictionaries Methods<strong><br /></strong></li><li><strong>Section 06: </strong>Conditions, Loops and Statements<strong><br /></strong></li><li><strong>Section 07: </strong>Abstraction-I<strong><br /></strong></li><li><strong>Section 08: </strong>Abstraction-II<strong><br /></strong></li><li><strong>Section 09: </strong>Exceptions<strong><br /></strong></li><li><strong>Section 10: </strong>Magic Methods, Properties and Iterators<strong><br /></strong></li><li><strong>Section 11: </strong>Standard Libraries<strong><br /></strong></li><li><strong>Section 12: </strong>Reference Files</li></ul><p><strong>How is the course assessed?</strong></p><p>Upon completing an online module, you will immediately be given access to a specifically crafted MCQ test. For each test, the pass mark will be set to 60%.</p><p><strong>Exam &amp; Retakes:</strong><br />It is to inform our learners that the initial exam for this online course is provided at no additional cost. In the event of needing a retake, a nominal fee of £9.99 will be applicable.</p><p><strong>Certification</strong><br />Upon successful completion of the assessment procedure, learners can obtain their certification by placing an order and remitting a fee of __ GBP. £9 for PDF Certificate and £15 for the Hardcopy Certificate within the UK ( An additional £10 postal charge will be applicable for international delivery).</p><h2>
        
        <div>CPD</div>
    </h2>

                        <div id="cpd">
                            <div>
                                <div>
                                    <div>
                                        15 CPD hours / points
                                    </div>
                                        <div>
                                            Accredited by CPD Quality Standards
                                        </div>
                                </div>
                            </div>
                        </div><h2>
        
        <div>Who is this course for?</div>
    </h2>

                        <div id="who_is_this_course_for">
                            <ul><li>Students interested in programming and computer science.</li><li>Professionals seeking to enhance their programming skills.</li><li>Entrepreneurs and business owners looking to create innovative solutions.</li><li>Experienced programmers seeking to learn a new language.</li><li>Individuals looking to switch careers and enter the field of programming.</li></ul>
                        </div><h2>
        
        <div>Career path</div>
    </h2>

                        <div id="career_path">
                            <ul><li>Python Developer: £35,000 - £70,000</li><li>Data Analyst: £20,000 - £60,000</li><li>Machine Learning Engineer: £40,000 - £90,000</li><li>Software Engineer: £25,000 - £80,000</li><li>Web Developer: £20,000 - £55,000</li></ul>
                        </div><h2>
        
        <div>Certificates</div>
    </h2>

                        <div id="optional_extras">
                                    <h4>Certificate of completion</h4>
        <p>
            Digital certificate -
            £9
        </p>
            <div> <p>You can apply for a CPD Accredited PDF Certificate at the cost of £9.</p> </div>
        <h4>Certificate of completion</h4>
        <p>
            Hard copy certificate -
            £15
        </p>
            <div> <p>Hard copy can be sent to you via post at the expense of £15.</p> </div>

                        </div>

One Education

Ultimate Python Programming Masterclass Course

Kuala Lumpur

<section style="color: rgb(33, 37, 41); box-sizing: border-box;" id="isPasted" fr-original-style=" color: rgb(33, 37, 41);"><h2 style="color: rgb(62, 57, 52); box-sizing: border-box;" fr-original-style=" color: rgb(62, 57, 52);"><strong fr-original-style="" style="font-weight: 700; box-sizing: border-box;">About this Classroom Training</strong></h2><p fr-original-style="" style="color: var(--text); font-size: var(--font-size); box-sizing: border-box;">In the upcoming digital era, Python stands out as the language of the future for effective AI and data analytics implementation, particularly in the Oil and Gas sector. Its widespread adoption is attributed to extensive libraries, versatility, and a thriving community of developers consistently pushing the boundaries of the field. This training course will tailor a transformative learning experience for professionals in oil and gas.</p><p fr-original-style="" style="color: var(--text); font-size: var(--font-size); box-sizing: border-box;">Commencing with overview in the computer programming, participants delve into programming fundamentals and set up their Python coding environment. Participants will be able to explore flow control tools and functions, unlocking the full potential of Python. Furthermore, participants will gain expertise in various programming paradigms, with a particular focus on Object-Oriented Programming (OOP), a crucial foundation for building sophisticated applications.</p><p fr-original-style="" style="color: var(--text); font-size: var(--font-size); box-sizing: border-box;">Participants will navigate through file handling, internal modules, and external libraries like NumPy, Pandas, and Matplotlib, providing proficiency in data manipulation and visualization tailored for the challenges of real-life projects. Through a hands-on Data Analytics Project, participants will apply their skills to a real-world dataset, derive insights, and present findings.</p><p fr-original-style="" style="color: var(--text); font-size: var(--font-size); box-sizing: border-box;">This comprehensive workshop equips professionals with the tools for effective automation and data analytics in the Oil and Gas sector. Participants will experience a robust understanding of Python&rsquo;s applications, ready to drive impactful and data-driven initiatives in their professional journey.</p><p fr-original-style="" style="color: var(--text); font-size: var(--font-size); box-sizing: border-box;">This course will be delivered face-to-face over 5-day sessions, comprising of 8 hours per day, 1 hour lunch and 2 breaks of 15 minutes per day. Course Duration: 8 hours in total, 40 CPD points. Maximum number of participants: 30</p><p id="isPasted" fr-original-style="" style="color: var(--text); font-size: var(--font-size); box-sizing: border-box;"><a href="https://petroedgeasia.net/training/assessment-based-training-python-programming-analytics-for-the-oil-gas-sector-maximising-value-from-data-assets/" fr-original-style="" style="user-select: auto; font-size: var(--font-size); box-sizing: border-box; cursor: pointer; text-decoration: inherit;">Download your brochure</a></p><p fr-original-style="" style="color: var(--text); font-size: var(--font-size); box-sizing: border-box;"><a href="mailto:info@asiaedge.net?subject=Please Send me the Brochure for Assessment Based Training – Python Programming & Analytics for the Oil & Gas Sector – Maximising Value from Data Assets" fr-original-style="" style="user-select: auto; font-size: var(--font-size); box-sizing: border-box; cursor: pointer; text-decoration: inherit;">Email me the brochure</a></p></section><section style="color: rgb(33, 37, 41); box-sizing: border-box;" fr-original-style=" color: rgb(33, 37, 41);"><a data-toggle="collapse" href="https://petroedgeasia.net/training/assessment-based-training-python-programming-analytics-for-the-oil-gas-sector-maximising-value-from-data-assets/#collapseOne" style="color: rgb(51, 51, 51); user-select: auto; font-size: var(--font-size); box-sizing: border-box; cursor: pointer; text-decoration: inherit;" fr-original-style=" color: rgb(51, 51, 51);"><strong fr-original-style="" style="font-weight: 700; box-sizing: border-box;">TRAINING OBJECTIVES</strong></a><div data-parent="#accordion" fr-original-style="" style="box-sizing: border-box;"><ul fr-original-style="" style="box-sizing: border-box;"><li fr-original-style="" style="box-sizing: border-box;">Acquire a comprehensive understanding of Python syntax, including variables, data types, and fundamental programming constructs.</li><li fr-original-style="" style="box-sizing: border-box;">Apply Python programming skills to analyze industry-specific datasets, extracting meaningful insights that can inform decision-making and operational efficiency.</li><li fr-original-style="" style="box-sizing: border-box;">Demonstrate the ability to automate routine tasks and streamline workflows within the Oil and Gas sector using Python.</li><li fr-original-style="" style="box-sizing: border-box;">Develop practical solutions and strategies using Python programming for challenges commonly faced in the industry, fostering hands-on experience and problem-solving capabilities.</li><li fr-original-style="" style="box-sizing: border-box;">Gain insights into emerging trends in digital technology within the industry and how Python can be leveraged for continuous adaptation and innovation.</li></ul></div><a data-toggle="collapse" href="https://petroedgeasia.net/training/assessment-based-training-python-programming-analytics-for-the-oil-gas-sector-maximising-value-from-data-assets/#collapseTwo" style="color: rgb(51, 51, 51); user-select: auto; font-size: var(--font-size); box-sizing: border-box; cursor: pointer; text-decoration: inherit;" fr-original-style=" color: rgb(51, 51, 51);"><strong fr-original-style="" style="font-weight: 700; box-sizing: border-box;">TARGET AUDIENCE</strong></a><div data-parent="#accordion" fr-original-style="" style="box-sizing: border-box;"><ul fr-original-style="" style="box-sizing: border-box;"><li fr-original-style="" style="box-sizing: border-box;">All Engineers and Technologists from diverse fields who are interested in utilizing Python programming and data analytics techniques to explore and address challenges within their respective domains.</li><li fr-original-style="" style="box-sizing: border-box;">Data Analysts and Scientists who working with data generated by sensors, monitoring equipment, and other sources within the industry.</li><li fr-original-style="" style="box-sizing: border-box;">IT and Automation Specialists who responsible for designing and implementing IT solutions and automation systems as well as who involve in developing and maintaining software application in the Oil and Gas sector.</li><li fr-original-style="" style="box-sizing: border-box;">Executives and Managers seeking a strategic understanding of how Python and data analytics can impact decision-making and operational efficiency in the industry.</li><li fr-original-style="" style="box-sizing: border-box;">Professionals who interest in applying Python programming and data analytics techniques to study and solve challenges in the Oil and Gas field.</li><li fr-original-style="" style="box-sizing: border-box;">Individuals from related industries or backgrounds who are transitioning into roles within the Oil and Gas sector and wish to acquire relevant Python skills.</li><li fr-original-style="" style="box-sizing: border-box;">Professionals from diverse backgrounds who recognize the growing importance of data analytics in the Oil and Gas sector and wish to enhance their skill set.</li></ul></div><a data-toggle="collapse" href="https://petroedgeasia.net/training/assessment-based-training-python-programming-analytics-for-the-oil-gas-sector-maximising-value-from-data-assets/#collapsecl" style="color: rgb(51, 51, 51); user-select: auto; font-size: var(--font-size); box-sizing: border-box; cursor: pointer; text-decoration: inherit;" fr-original-style=" color: rgb(51, 51, 51);"><strong fr-original-style="" style="font-weight: 700; box-sizing: border-box;">COURSE LEVEL</strong></a><div data-parent="#accordion" fr-original-style="" style="box-sizing: border-box;"><ul fr-original-style="" style="box-sizing: border-box;"><li fr-original-style="" style="box-sizing: border-box;">Basic</li><li fr-original-style="" style="box-sizing: border-box;">Intermediate</li></ul></div><a data-toggle="collapse" href="https://petroedgeasia.net/training/assessment-based-training-python-programming-analytics-for-the-oil-gas-sector-maximising-value-from-data-assets/#collapseThree" style="color: rgb(51, 51, 51); user-select: auto; font-size: var(--font-size); box-sizing: border-box; cursor: pointer; text-decoration: inherit;" fr-original-style=" color: rgb(51, 51, 51);"><strong fr-original-style="" style="font-weight: 700; box-sizing: border-box;">TRAINING METHODS</strong></a><div data-parent="#accordion" fr-original-style="" style="box-sizing: border-box;"><p fr-original-style="" style="color: var(--text); font-size: var(--font-size); box-sizing: border-box;">The trainer will employ the &lsquo;learning by doing&rsquo; method by emphasizing practical application. Participants will be introduced to the concepts and theories using techniques that they can easily relate to. The learning experience is then reinforced by implementing the subject through real-life examples. The trainer will provide quizzes and tests for self-assessment and ensuring participants can measure their understanding and apply the knowledge effectively. This hands-on approach not only enhances comprehension but also empowers participants to confidently apply the learned skills in their professional endeavors.</p><p fr-original-style="" style="color: var(--text); font-size: var(--font-size); box-sizing: border-box;"><strong fr-original-style="" style="font-weight: 700; box-sizing: border-box;">Preparation ahead of the Class:</strong></p><p fr-original-style="" style="color: var(--text); font-size: var(--font-size); box-sizing: border-box;">Participants are required to download the&nbsp;<strong fr-original-style="" style="font-weight: 700; box-sizing: border-box;">Python 3.x</strong>&nbsp;version software onto their laptops.</p><p fr-original-style="" style="color: var(--text); font-size: var(--font-size); box-sizing: border-box;">The instructions are provided below:</p><ol fr-original-style="" style="box-sizing: border-box;"><li fr-original-style="" style="box-sizing: border-box;">Download&nbsp;<strong fr-original-style="" style="font-weight: 700; box-sizing: border-box;">Anaconda</strong>&nbsp;by visiting the Anaconda website (https://www.anaconda.com/products/distribution).</li><li fr-original-style="" style="box-sizing: border-box;">Click on the &ldquo;<strong fr-original-style="" style="font-weight: 700; box-sizing: border-box;">Download</strong>&rdquo; button for the version that suits your operating system (Windows, macOS, Linux).</li><li fr-original-style="" style="box-sizing: border-box;">&nbsp;Select the&nbsp;<strong fr-original-style="" style="font-weight: 700; box-sizing: border-box;">Python 3.x</strong>&nbsp;version (e.g., Python 3.8) during the installation process.</li><li fr-original-style="" style="box-sizing: border-box;">Install Anaconda follow the instructions to run the installer. Install Just Me (Recommended).</li></ol></div><a data-toggle="collapse" href="https://petroedgeasia.net/training/assessment-based-training-python-programming-analytics-for-the-oil-gas-sector-maximising-value-from-data-assets/#collapseFive" style="color: rgb(51, 51, 51); user-select: auto; font-size: var(--font-size); box-sizing: border-box; cursor: pointer; text-decoration: inherit;" fr-original-style=" color: rgb(51, 51, 51);"><strong fr-original-style="" style="font-weight: 700; box-sizing: border-box;">TRAINER</strong></a><div data-parent="#accordion" fr-original-style="" style="box-sizing: border-box;"><p fr-original-style="" style="color: var(--text); font-size: var(--font-size); box-sizing: border-box;">Your expert trainer is a seasoned multidisciplinary engineer with a 15-year professional journey, driven by an unwavering commitment to innovation and excellence. Armed with a Ph.D. in offshore engineering, he draws extensive insights from diverse industry sectors, notably oil and gas, where he served as a subsea pipeline engineer. His hands-on experience encompasses the entire spectrum, from design and manufacturing to installation and operations of offshore oil and gas facilities.</p><p fr-original-style="" style="color: var(--text); font-size: var(--font-size); box-sizing: border-box;">Previously at Rosen Group, your expert trainer developed digital tools for offshore structural assessments and risk-based inspection. He led research at the ARC Offshore Floating Facilities Hub on enhancing riser design and monitoring using Python and data analytics. He performed design verification for INPEX, Chevron, and Apache on subsea pipelines, risers, umbilicals, and LNG facilities, and was a deputy project manager on verifying the Ichthys gas pipeline. He conducted risk-based inspection and auditing of the Ichthys LNG plant for DNV GL. He also worked as a structural engineer at Advanced Building Engineers designing steel structures, buildings, and other components. Meanwhile, at the University of Western Australia (UWA), your expert trainer developed AI and data solutions for the oil &amp; gas industry focused on condition monitoring and probabilistic assessments and led research on offshore facilities by creating tools for analysis and machine learning.</p><p fr-original-style="" style="color: var(--text); font-size: var(--font-size); box-sizing: border-box;">His academic pursuit culminated in a thesis that underscores his proficiency in employing data science and machine learning, primarily through Python. His research focused on optimising asset integrity management for offshore oil and gas assets, showcasing a seamless integration of engineering and cutting-edge technology. In 2023, he fully unleash AI-driven solutions across diverse sectors. Currently, he actively contributes to mineral resource exploration and assists oil and gas operators in the effective implementation of new AI and digital technologies.</p><p fr-original-style="" style="color: var(--text); font-size: var(--font-size); box-sizing: border-box;">His dedication to knowledge dissemination is evident through his role as a global educator. Over the past five years, he has conducted Python programming lectures at universities and industries, reaching over 1000 novices. His unwavering commitment to lifelong learning, coupled with a growth mindset have positions him as a transformative trainer in the realms of applied AI, data science, and engineering in oil and gas sector</p><section style="color: rgb(33, 37, 41); box-sizing: border-box;" id="isPasted" fr-original-style=" color: rgb(33, 37, 41);"><p fr-original-style="" style="color: var(--text); font-size: var(--font-size); box-sizing: border-box;"><a href="https://petroedgeasia.net/training/assessment-based-training-python-programming-analytics-for-the-oil-gas-sector-maximising-value-from-data-assets/" fr-original-style="" style="user-select: auto; font-size: var(--font-size); box-sizing: border-box; cursor: pointer; text-decoration: inherit;">Download your brochure</a></p><p fr-original-style="" style="color: var(--text); font-size: var(--font-size); box-sizing: border-box;"><a href="mailto:info@asiaedge.net?subject=Please Send me the Brochure for Assessment Based Training – Python Programming & Analytics for the Oil & Gas Sector – Maximising Value from Data Assets" fr-original-style="" style="user-select: auto; font-size: var(--font-size); box-sizing: border-box; cursor: pointer; text-decoration: inherit;">Email me the brochure</a></p></section></div><a data-toggle="collapse" href="https://petroedgeasia.net/training/assessment-based-training-python-programming-analytics-for-the-oil-gas-sector-maximising-value-from-data-assets/#collapseCS" style="color: rgb(51, 51, 51); user-select: auto; font-size: var(--font-size); box-sizing: border-box; cursor: pointer; text-decoration: inherit;" fr-original-style=" color: rgb(51, 51, 51);">POST TRAINING COACHING SUPPORT (OPTIONAL)</a><div data-parent="#accordion" fr-original-style="" style="box-sizing: border-box;"><p fr-original-style="" style="color: var(--text); font-size: var(--font-size); box-sizing: border-box;">To further optimise your learning experience from our courses, we also offer individualized &ldquo;One to One&rdquo; coaching support for 2 hours post training. We can help improve your competence in your chosen area of interest, based on your learning needs and available hours. This is a great opportunity to improve your capability and confidence in a particular area of expertise. It will be delivered over a secure video conference call by one of our senior trainers. They will work with you to create a tailor-made coaching program that will help you achieve your goals faster.<br fr-original-style="" style="box-sizing: border-box;"><a href="mailto:info@asiaedge.net?subject=Request%20for%20further%20information%20regarding%20post%20training%20coaching%20support" target="_blank" style="color: rgb(0, 123, 255); user-select: auto; font-size: var(--font-size); box-sizing: border-box; cursor: pointer; text-decoration: inherit;" fr-original-style=" color: rgb(0, 123, 255);">Request for further information post training support</a>&nbsp;and fees applicable.</p></div></section>

EnergyEdge - Training for a Sustainable Energy Future

Machine Learning (ML)

Maximize the value of data assets in the oil and gas sector with EnergyEdge's assessment-based training course on Python programming and analytics.

Assessment Based Training - Python Programming & Analytics for the Oil & Gas Sector - Maximising Value from Data Assets

Team of 10, pp

Normal Fee, pp

Redhill

<h3><b>Complete Python training course description</b></h3>
        <p> Python is an agile, robust, expressive, fully objectoriented,
          extensible, and scalable programming
          language. It combines the power of compiled
          languages with the simplicity and rapid development of
          scripting languages. This course covers Python from
          the very basics of 'hello world!' through to object
          oriented programming and advanced topics such as
          multi threading. Hands on follows all the major sections
          in order to reinforce the theory.</p>
        
				<h5><b>What will you learn</b></h5>
				<ul>
				 
	    <li>Read Python programs.</li>
        <li>Write Python programs.</li>
        <li>Debug Python programs.</li>
        <li>Use Python's objects and memory model as well as
          its OOP features.</li>
        </ul>
        <h5>
        <b>Complete Python programming training course details</b></h5>
				<div>
					<div>
						<ul>
							<li><b> Who will benefit:</b> </li>
							
               <p>Anyone wishing to learn Python. </p>
              
							<li><b>Prerequisites:</b></li>
							
             <p> None. </p>
              
							<li><b>Duration</b></li>
							
              <p>5 days
						</p>
              
							
             
              
						</ul>
					</div>
				</div>
       <h3><b>Complete Python programming training course contents</b></h3>
      <ul>
        <li>Welcome to Python: </li>
        <p> What is Python? Origins, features. Downloading and installing Python, Python manuals, comparing Python, other implementations. </p>
        <li>Getting started: </li>
        <p> Program output, the print statement, "hello world!", Program input, raw_input(), comments, operators, variables and assignment, numbers, strings, lists and tuples, dictionaries, indentation, if statement, while Loop, for loop. range(), list comprehensions. Files, open() and file() built-in functions. Errors and exceptions. Functions, Classes, Modules, useful functions. </p>
        <li>Python basics: </li>
        <p> Statements and syntax, variable assignment, identifiers, basic style guidelines, memory management, First Python programs, Related modules/developer tools. </p>
        <li>Python Objects: </li>
        <p> Other built-in types, Internal Types, Standard type operators, Standard type built-in functions, Categorizing standard types, Unsupported types. </p>
        <li>Numbers: </li>
        <p> Integers, Double precision floating point numbers, Complex numbers, Operators, Built-in and factory functions, Other numeric types. </p>
        <li>Sequences: strings, lists, and tuples: </li>
        <p> Sequences, Strings, Strings and operators, String-only operators, Built-in functions, String built-in methods, Special features of strings, Unicode, Summary of string highlights, Lists, Operators, Built-in functions, List type built-in methods, Special features of lists, Tuples, Tuple operators and built-in functions, Tuples special features, Copying Python objects and shallow and deep copies. </p>
        <li>Mapping and set types: </li>
        <p> Mapping Type: dictionaries and operators, Mapping type built-in and factory functions, Mapping type built-in methods, Dictionary keys, Set types, Set type operators, Built-in functions, Set type built-in methods. </p>
        <li>Conditionals and loops: </li>
        <p> If, else and elif statements, Conditional expressions, while, for, break, continue and pass statements, else statement . . . take two, Iterators and iter(), List comprehensions, Generator expressions. </p>
        <li>Files and input/output: </li>
        <p> File objects, File built-in functions [open() and file()], File built-in methods and attributes, Standard files, Command-line arguments, File system, File execution, Persistent storage modules. </p>
        <li>Errors and exceptions: </li>
        <p> What are exceptions? Detecting and handling exceptions, Context management, Exceptions as strings, Raising exceptions, Assertions, Standard exceptions, Creating Exceptions, Why exceptions, Exceptions and the sys module. </p>
        <li>Functions: </li>
        <p> Calling, creating and passing functions, formal arguments, variable-length arguments, functional programming, Variable scope, recursion, generators. </p>
        <li>Modules: </li>
        <p> Modules and files, Namespaces, Importing modules, Module import features, Module built-in functions, Packages, Other features of modules. </p>
        <li>Object-Oriented Programming (OOP): </li>
        <p> Classes, Class attributes, Instances, Instance attributes, Binding and method invocation, Static methods and class methods, Composition, Sub-classing and derivation, Inheritance, Built-in functions for classes, and other objects, Customizing classes with special methods, Privacy, Delegation, Advanced features of new-style classes (Python 2.2+), Related modules and documentation. </p>
        <li>Execution environment: </li>
        <p> Callable and code Objects, Executable object statements and built-in functions, Executing other programs. 'Restricted' and 'Terminating' execution, operating system interface. </p>
        <li>Regular expressions: </li>
        <p> Special symbols and characters, REs and Python, Regular expressions example. </p>
        <li>Network programming: </li>
        <p> Sockets: communication endpoints, Network programming in Python, SocketServer module, Twisted framework introduction. </p>
        <li>Internet client programming: </li>
        <p> What are internet clients? Transferring files, Network news, E-mail. </p>
        <li>Multithreaded Programming: </li>
        <p> Threads and processes Python, threads, and the global interpreter lock, The thread and threading Modules. </p>
        <li>GUI programming: </li>
        <p> Tkinter and Python programming, Tkinter Examples, Brief tour of other GUIs. </p>
        <li>Web programming: </li>
        <p> Web surfing with Python: creating simple web clients, Advanced Web clients, CGI: helping web servers process client data, Building CGI applications, Using Unicode with CGI, Advanced CGI, Web (HTTP) Servers. </p>
        <li>Database programming: </li>
        <p> Python database application programmer's interface (DB-API), ORMs. </p>
        <li>Miscellaneous </li>
        <p> Extending Python by writing extensions, Web Services, programming MS Office with Win32 COM, Python and Java programming with Jython.</p>
      </ul>

Systems & Network Training

Network & Security

Network Engineer

Complete Python programming

"Start your career as a Certified Python Programmer and earn up to £70,000 per Year."
Are you looking to make your mark in the ever-evolving world of Data Analyst? The demand for Python programmers has never been higher. Just in the UK, job postings for Analysts / Python programmers surged by an astounding 70% in 2022. This exponential growth trend signifies the soaring need for skilled Python programmers. Amid this vibrant job market, our Python Programmer online Training is your golden ticket to a prosperous career in programming or Data Analysis. Regardless of your level - beginner or expert - we ensure a comprehensive learning experience that will enhance your current skills and prepare you for the dynamic tech industry.
We envision being your reliable ally throughout your journey - from imparting quality Python training to ensuring your employability in the programming world.
Our Python Certification Program offers more than just technical know-how. We extend comprehensive career mentoring and support designed to mould you into an industry-ready professional. We'll assist you in creating an impressive resume, preparing for interviews, and landing your dream job. With a vast network of partner companies continually looking for Python programmers, we provide an opportunity to get your foot in the door of your desired companies.
Our mission is simple - to be your trusted partner every step of the way, from training to employment.
In addition to teaching you the technical skills you need, we will also provide you with career mentoring and support. We will help you build your resume, prepare for interviews, and land your dream job. We also have partnerships with many companies that are hiring Programmers, so we can help you get your foot in the door.
If you are not happy with our service, we also offer a 100% money-back guarantee. So what are you waiting for? Enrol in our Python Certification - IT Program today and start your journey to becoming a successful Python Programmer!
Why Choose Us?
So, what sets us apart from other programs? Let's dive into the exceptional benefits you'll experience when you join our Certified Python Programmers:
Personalised Guidance: We believe in the power of individual attention. Our experienced mentors will provide one-on-one counselling sessions tailored to your specific needs. Whether you're a beginner or have some Python experience, we will guide you towards honing your skills and developing a strong foundation in Python.
One-On-One Consultation: Gain invaluable insights and guidance from seasoned professionals who have thrived in the Python programming field. Our consultation sessions provide you with insider tips, tricks, and advice, empowering you to navigate the industry with confidence and expertise.
Extensive Job Opportunities: We have established partnerships with numerous companies actively seeking Certified Python Programmers. Through our network, we'll connect you with exclusive job openings that are not easily accessible elsewhere.
Interview Preparation: No more stress over unexpected interview questions. We provide you with access to a comprehensive database of potential interview questions curated over years of industry experience. Walk into your interviews confident, well-prepared, and ready to impress.
Courses we will provide once you enrol in the program:
Course 01: Computer Science With Python
Course 02: Ultimate Python Training for Beginners
Course 03: Python Intermediate Training
Course 04: Python Advanced Training
Course 05: Deep Learning & Neural Networks Python - Keras
Course 06: Complete Python Machine Learning & Data Science Fundamentals
Course 06: Introduction to Data Analysis
Course 07: Business and Data Analytics for Beginners
Course 08: Data Analytics with Tableau
Course 09: Quick Data Science Approach from Scratch
Course 10: Learn MySQL from Scratch for Data Science and Analytics
Course 11: SQL for Data Science, Data Analytics and Data Visualization
Course 12: Statistics & Probability for Data Science & Machine Learning
Course 13: Basic Google Data Studio
Course 14: Machine Learning with Python Course
Course 15: Python Programming Bible | Networking, GUI, Email, XML, CGI
Course 16: Web Scraping and Mapping Dam Levels in Python and Leaflet
Course 17: Coding Essentials - Javascript, ASP. Net, C#
Course 19: Master JavaScript with Data Visualization
How Can We Offer Job Guarantees?
HF Online provides consultancy, professional and educational services to many of the companies in the UK. During our intense exclusive training program, you will not just gain and complete the industry valuable certification but will gain industry experience as well, which is imperative to get your 1st job in the sector.
The Python Certification - IT Training is completed in 9 easy steps:
Step 1: Enrol in the Programme
Begin your exciting journey with us by enrolling in the Python Certification Training program. Complete your registration and make a secure online payment. Remember, we offer a 14-day money-back guarantee if you're not completely satisfied.
After you enrol in the Program, you will get lifetime access to 19 Premium Courses related to Python Programming. These courses will teach you the knowledge and skills required to become a successful Python Prgrammer. Our customer service team will help you and keep in contact with you every step of the way. So you won't have to worry about a thing!
Step 2: Initial One-On-One Counselling Session
Once enrolled, you will be paired with a dedicated career mentor. Schedule your first one-on-one session to discuss your career aspirations, skills, experience, and any areas for potential growth. This conversation will shape your learning and development path.
Step 3 - Certification upon Course Completion
After learning from the courses, you must obtain certificates for each course. There will be exams for every course, and you have to pass them to get your certificate. To pass successfully, you must get 90% marks. Once you pass the exams, you will receive hardcopy certificates. These certificates will prove that you're an expert in the subject.
Step 4: CV Revamping
Our team of professionals will build you a compelling CV and LinkedIn profile. We'll ensure it presents your skills and qualifications effectively and is tailored to the needs and expectations of the programming/development industry. With these powerful tools in hand, you'll be fully prepared to tackle job interviews confidently.
Step 5: Building Network and Submitting CV
We understand the power of casting a wide net. We'll strategically submit your CV to various platforms and networks, expanding your reach and connecting you with valuable opportunities that align with your career goals. We will also make connections with many high-profile individuals and companies through your LinkedIn profile.
Step 6: Interview Preparation
With your CV ready, we'll move on to interview preparation. Gain exclusive access to our database of potential interview questions. Through simulated interviews with your mentor, you'll practice your responses and receive valuable feedback to further refine your skills.
Step 7: Securing Job Interviews
Leveraging our partnerships with leading companies, we'll secure job interviews for you. We'll ensure you get the opportunity to showcase your skills to potential employers and get the dream job you want.
Step 8: Post-Interview Support
Post-interview, we'll provide a debriefing session to reflect on your performance and identify areas of improvement for future interviews if necessary. Remember, our commitment extends until you land your dream job.
Step 9: Celebrate Your New Job!
Once you've secured your dream job in Python Programming, it's time to celebrate! However, our support doesn't end there. We'll provide you with ongoing career advice to ensure you continue to thrive in your new role.
We're excited to accompany you on this journey to success. Enrol today, and let's get started! Your path to a successful career in Python Programming begins with us.
 CPD 
100 CPD hours / points  Accredited by CPD Quality Standards
 Who is this course for? 
This Python Certification Course is suitable for:
Beginners with no prior programming experience who are looking to enter the world of coding.
Intermediate programmers who wish to expand their skills and explore Python's extensive usage.
IT professionals seeking to diversify their skill sets and stay relevant in today's tech-driven market.
Data analysts and scientists who want to leverage Python's powerful libraries for their data processing needs.
Students and recent graduates looking to enhance their employability in the thriving tech industry.
Entrepreneurs who wish to understand and utilise Python to automate tasks and analyse data for their businesses.
Anyone with a keen interest in Python programming and a desire to delve into its applications in diverse fields like web development, data science, machine learning, and more.
 Requirements 
No experience required. Just enrol & start learning python.
 Career path 
Upon completion of our Program, the potential career paths include:
Python Developer: £30,000 - £90,000 annually
Data Scientist: £40,000 - £100,000 annually
Machine Learning Engineer: £50,000 - £110,000 annually
Data Analyst: £35,000 - £85,000 annually
Software Engineer: £35,000 - £95,000 annually
Back-end Developer: £40,000 - £95,000 annually
Web Developer: £30,000 -£85,000 annually
 Certificates 
CPD Accredited e-Certificate
 Digital certificate - Included 
CPD Accredited Framed (Hardcopy) Certificate
 Hard copy certificate - Included 
Enrolment Letter
 Digital certificate - Included 
QLS Endorsed Hard Copy Certificate
 Hard copy certificate - Included 
Student ID Card
 Digital certificate - Included 

Programming Fundamentals

Career Development

IT Certifications

Become an IT professional with our Python Certification - IT Job Ready Program! Gain comprehensive skills in Python programming, data analysis, and automation. We offer a money-back guarantee if you don't secure a job within six months of completion. Enroll now and jumpstart your tech career!


Ready to land your dream job in tech? Our Python Certification - IT Job Ready Program equips you with essential Python programming, data analysis, and automation skills. Plus, we offer a money-back guarantee if you don't get hired within six months of completing the course. Don't miss out – enroll today and take the first step towards a successful IT career! 💻📊 #PythonCertification #TechTraining #CareerReady #MoneyBackGuarantee

Python Certification - IT Job Ready Program with Money Back Guarantee

<p fr-original-style="" style="color: var(--text); font-size: var(--font-size); box-sizing: border-box;">Did you know that Python is one of the most popular programming languages in the world, with a massive 8.2 million users? It&#39;s no wonder the demand for skilled Python programmers is increasing daily. If you&#39;re looking to learn Python and launch a career as a programmer, look no further than our <strong fr-original-style="" style="font-weight: 700; box-sizing: border-box;">Python Programmer Complete Bundle - QLS Endorsed.</strong></p><p fr-original-style="" style="color: var(--text); font-size: var(--font-size); box-sizing: border-box;">Our bundle includes 10 comprehensive courses designed to give learners the aptitudes and understanding they need to become successful Python programmers. From Python programming for non-programmers to data science, machine learning, and web development, our courses cover everything you need to know to become a skilled Python programmer.</p><p fr-original-style="" style="color: var(--text); font-size: var(--font-size); box-sizing: border-box;">Why do people in the UK learn Python programming? Here&#39;s a startling statistic: the demand for Python programming skills has increased by 22.5% in the UK in the last year alone, with an average salary of &pound;45,000 per annum. By taking our Python Programmer Complete Bundle, learners can gain the skills and knowledge they need to take advantage of this growing demand and launch a successful career in programming.</p><p fr-original-style="" style="color: var(--text); font-size: var(--font-size); box-sizing: border-box;">And the best part? Our bundle is endorsed by the Quality Licence Scheme, ensuring the highest quality of education. Upon completion of the courses, learners will receive <strong fr-original-style="" style="font-weight: 700; box-sizing: border-box;">10 QLS Endorsed Certificates in Hard Copy, free of charge.</strong></p><p fr-original-style="" style="color: var(--text); font-size: var(--font-size); box-sizing: border-box;">Take your first step towards a successful career in programming today with our <strong id="isPasted" fr-original-style="" style="font-weight: 700; box-sizing: border-box;">Python Programmer Complete Bundle - QLS Endorsed</strong> and become a proficient Python programmer in no time.<strong fr-original-style="" style="font-weight: 700; box-sizing: border-box;"><br fr-original-style="" style="box-sizing: border-box;"></strong></p><p id="isPasted" fr-original-style="" style="color: var(--text); font-size: var(--font-size); box-sizing: border-box;"><strong fr-original-style="" style="font-weight: 700; box-sizing: border-box;">This bundle comprises the following courses:</strong></p><p fr-original-style="" style="color: var(--text); font-size: var(--font-size); box-sizing: border-box;"><strong fr-original-style="" style="font-weight: 700; box-sizing: border-box;">QLS Endorsed Courses:</strong></p><ul fr-original-style="" style="box-sizing: border-box;"><li fr-original-style="" style="box-sizing: border-box;"><strong fr-original-style="" style="font-weight: 700; box-sizing: border-box;">Course 01:</strong> Python Programming for Non-Programmers Level 5</li><li fr-original-style="" style="box-sizing: border-box;"><strong fr-original-style="" style="font-weight: 700; box-sizing: border-box;">Course 02:</strong> Python Data Science for Beginners</li><li fr-original-style="" style="box-sizing: border-box;"><strong fr-original-style="" style="font-weight: 700; box-sizing: border-box;">Course 03:</strong> Machine Learning with Python</li><li fr-original-style="" style="box-sizing: border-box;"><strong fr-original-style="" style="font-weight: 700; box-sizing: border-box;">Course 04:</strong> Azure Machine Learning</li><li fr-original-style="" style="box-sizing: border-box;"><strong fr-original-style="" style="font-weight: 700; box-sizing: border-box;">Course 05:</strong> Statistics &amp; Probability for Data Science &amp; Machine Learning</li><li fr-original-style="" style="box-sizing: border-box;"><strong fr-original-style="" style="font-weight: 700; box-sizing: border-box;">Course 06:</strong> Introduction to Java</li><li fr-original-style="" style="box-sizing: border-box;"><strong fr-original-style="" style="font-weight: 700; box-sizing: border-box;">Course 07:</strong> HTML Web Development Crash Course</li><li fr-original-style="" style="box-sizing: border-box;"><strong fr-original-style="" style="font-weight: 700; box-sizing: border-box;">Course 08:</strong> How To Build Easy Drag &amp; Drop Landing Pages With WordPress</li><li fr-original-style="" style="box-sizing: border-box;"><strong fr-original-style="" style="font-weight: 700; box-sizing: border-box;">Course 09:</strong> Career Coaching</li><li fr-original-style="" style="box-sizing: border-box;"><strong fr-original-style="" style="font-weight: 700; box-sizing: border-box;">Course 10:</strong> The Unstoppable Self-Confidence &amp; High Self-Esteem Blueprint</li></ul><p fr-original-style="" style="color: var(--text); font-size: var(--font-size); box-sizing: border-box;"><strong fr-original-style="" style="font-weight: 700; box-sizing: border-box;">Learning Outcomes:</strong></p><ul fr-original-style="" style="box-sizing: border-box;"><li fr-original-style="" style="box-sizing: border-box;">Understand the fundamentals of Python programming</li><li fr-original-style="" style="box-sizing: border-box;">Use Python for data science and analysis</li><li fr-original-style="" style="box-sizing: border-box;">Apply machine learning techniques using Python</li><li fr-original-style="" style="box-sizing: border-box;">Understand the basics of Azure Machine Learning</li><li fr-original-style="" style="box-sizing: border-box;">Understand the basics of statistics and probability for data science and machine learning</li><li fr-original-style="" style="box-sizing: border-box;">Create web pages using HTML and WordPress</li><li fr-original-style="" style="box-sizing: border-box;">Develop the aptitudes and confidence needed to pursue a successful career in programming</li></ul><p dir="ltr" id="isPasted" fr-original-style="" style="color: var(--text); font-size: var(--font-size); box-sizing: border-box;"><span style="color: rgb(15, 15, 15); box-sizing: border-box;" fr-original-style="color:#0f0f0f;"><strong fr-original-style="" style="font-weight: 700; box-sizing: border-box;">Why Choose Imperial Academy?</strong></span></p><ul fr-original-style="" style="box-sizing: border-box;"><li dir="ltr" fr-original-style="" style="box-sizing: border-box;"><span style="color: rgb(15, 15, 15); box-sizing: border-box;" fr-original-style="color:#0f0f0f;">Fully Online Training</span></li><li dir="ltr" fr-original-style="" style="box-sizing: border-box;"><span style="color: rgb(15, 15, 15); box-sizing: border-box;" fr-original-style="color:#0f0f0f;">QLS Endorsed &amp; CPD Accredited Certificate</span></li><li dir="ltr" fr-original-style="" style="box-sizing: border-box;"><span style="color: rgb(15, 15, 15); box-sizing: border-box;" fr-original-style="color:#0f0f0f;">No Time Limits. Study at Your Own Pace</span></li><li dir="ltr" fr-original-style="" style="box-sizing: border-box;"><span style="color: rgb(15, 15, 15); box-sizing: border-box;" fr-original-style="color:#0f0f0f;">Expert Instructors</span></li><li dir="ltr" fr-original-style="" style="box-sizing: border-box;"><span style="color: rgb(15, 15, 15); box-sizing: border-box;" fr-original-style="color:#0f0f0f;">Audio Visual Training</span></li><li dir="ltr" fr-original-style="" style="box-sizing: border-box;"><span style="color: rgb(15, 15, 15); box-sizing: border-box;" fr-original-style="color:#0f0f0f;">Up-to-date Curriculum and Valuable Guidelines</span></li></ul><h2 style="color: rgb(65, 65, 65); box-sizing: border-box;" id="isPasted" fr-original-style=" color: rgb(65, 65, 65);">Course&nbsp;Description</h2><p fr-original-style="" style="color: var(--text); font-size: var(--font-size); box-sizing: border-box;">Our <strong fr-original-style="" style="font-weight: 700; box-sizing: border-box;">Python Programmer Complete Bundle - QLS Endorsed</strong> is a comprehensive package of ten courses designed to provide learners with the knowledge needed to become successful Python programmers. Our courses cover a wide range of topics, including Python programming for non-programmers, data science, machine learning, and web development.</p><p fr-original-style="" style="color: var(--text); font-size: var(--font-size); box-sizing: border-box;">Whether you&#39;re an aspiring programmer or a business owner looking to develop your website, our Python Programmer Complete Bundle has something for you. By completing our courses, learners will gain the skills and confidence needed to pursue a successful career in programming and data analysis. With our <strong fr-original-style="" style="font-weight: 700; box-sizing: border-box;">QLS Endorsed Hard Copy Certificates,</strong> learners can be confident in the quality of their education and prepared to take advantage of the growing demand for Python programming skills.</p><p fr-original-style="" style="color: var(--text); font-size: var(--font-size); box-sizing: border-box;"><strong fr-original-style="" style="font-weight: 700; box-sizing: border-box;">Certification:&nbsp;</strong></p><p fr-original-style="" style="color: var(--text); font-size: var(--font-size); box-sizing: border-box;">The Quality Licence Scheme ensures excellence and quality. These courses&#39; learning outcomes also provide the learners with high competence in their line of work. So,<strong fr-original-style="" style="font-weight: 700; box-sizing: border-box;"> QLS Endorsed</strong> courses deliver deep knowledge and add significant value to the resume.</p><p fr-original-style="" style="color: var(--text); font-size: var(--font-size); box-sizing: border-box;">After completing the assessments, learners will be eligible for a prestigious <strong fr-original-style="" style="font-weight: 700; box-sizing: border-box;">QLS Certificate</strong> for each endorsed course in this bundle. Moreover, the certificates will be delivered to their home free of cost!</p><p fr-original-style="" style="color: var(--text); font-size: var(--font-size); box-sizing: border-box;">Imperial Academy is an approved reselling partner for Quality Licence Scheme courses under One Education.</p><h2 fr-original-style="" style="box-sizing: border-box;">
        
        <div fr-original-style="" style="box-sizing: border-box;">Who is this course for?</div>
    </h2><div id="who_is_this_course_for" fr-original-style="" style="box-sizing: border-box;">
                            <ul fr-original-style="" style="box-sizing: border-box;"><li fr-original-style="" style="box-sizing: border-box;">Individuals interested in a career in programming and data analysis</li><li fr-original-style="" style="box-sizing: border-box;">Professionals seeking to expand their knowledge of programming and data analysis</li><li fr-original-style="" style="box-sizing: border-box;">Business owners seeking to develop their own websites and landing pages</li><li fr-original-style="" style="box-sizing: border-box;">Students seeking to gain the talents and expertise to pursue a career in programming and data analysis</li><li fr-original-style="" style="box-sizing: border-box;">Anyone interested in developing the ability and confidence needed to succeed in the rapidly growing programming and data analysis field.</li></ul>
                        </div><h2 fr-original-style="" style="box-sizing: border-box;">
        
        <div fr-original-style="" style="box-sizing: border-box;">Requirements</div>
    </h2><div id="requirements" fr-original-style="" style="box-sizing: border-box;">
                            <p fr-original-style="" style="color: var(--text); font-size: var(--font-size); box-sizing: border-box;">Anyone can enrol in this <strong fr-original-style="" style="font-weight: 700; box-sizing: border-box;">Python Programmer Complete Bundle - QLS Endorsed</strong>.</p>
                        </div><h2 fr-original-style="" style="box-sizing: border-box;">
        
        <div fr-original-style="" style="box-sizing: border-box;">Career path</div>
    </h2><div id="career_path" fr-original-style="" style="box-sizing: border-box;">
                            <ul fr-original-style="" style="box-sizing: border-box;"><li fr-original-style="" style="box-sizing: border-box;">Python Developer: &pound;35,000 - &pound;75,000 per annum</li><li fr-original-style="" style="box-sizing: border-box;">Data Analyst: &pound;25,000 - &pound;45,000 per annum</li><li fr-original-style="" style="box-sizing: border-box;">Machine Learning Engineer: &pound;50,000 - &pound;100,000 per annum</li><li fr-original-style="" style="box-sizing: border-box;">Web Developer: &pound;25,000 - &pound;45,000 per annum</li><li fr-original-style="" style="box-sizing: border-box;">Software Engineer: &pound;30,000 - &pound;60,000 per annum</li><li fr-original-style="" style="box-sizing: border-box;">Business Intelligence Analyst: &pound;30,000 - &pound;65,000 per annum</li></ul>
                        </div><h2 fr-original-style="" style="box-sizing: border-box;">
        
        <div fr-original-style="" style="box-sizing: border-box;">Certificates</div>
    </h2><div id="optional_extras" fr-original-style="" style="box-sizing: border-box;">
                                    <h4 fr-original-style="" style="box-sizing: border-box;">Hard Copy QLS Certificate</h4>
        <p fr-original-style="" style="color: var(--text); font-size: var(--font-size); box-sizing: border-box;">
            Hard copy certificate -
            Included
        </p>
        <h4 fr-original-style="" style="box-sizing: border-box;">PDF Certificate</h4>
        <p fr-original-style="" style="color: var(--text); font-size: var(--font-size); box-sizing: border-box;">
            Digital certificate -
            Included
        </p>
        <h4 fr-original-style="" style="box-sizing: border-box;">Student ID Card</h4>
        <p fr-original-style="" style="color: var(--text); font-size: var(--font-size); box-sizing: border-box;">
            Digital certificate -
            Included
        </p>

                        </div>

Imperial Academy

Azure Machine Learning

Python Programmer Complete Bundle - QLS Endorsed

<h3><b>Network DevOps course description</b></h3>
      <p> This course is not a soft skills course covering the
concepts of DevOps but instead concentrates on the
technical side of tools and languages for network
DevOps. Particular technologies focussed on are
ansible, git and Python enabling delegates to leave the
course ready to starting automating their network.
Hands on sessions follow all major sections. More
detailed courses on individual aspects of this course
are available. </p>
        
				<h5><b>What will you learn</b></h5>
				<ul>
				 
   <li>Evaluate network automation tools.</li>

<li>Automate tasks with ansible.</li>
<li>Use git for version control.</li>
<li>Use Python to manage network devices.</li>
<li>Use Python libraries for network devices.
</li>
                  </ul>
        <h5>
        <b>Network DevOps course details</b> </h5>
				<div>
					<div>
						<ul>
							<li><b> Who will benefit:</b> </li>
							
              <p>Administrators automating tasks.</p>
              
							<li><b>Prerequisites:</b></li>
							
              <p>TCP/IP Foundation</p>
              
							<li><b>Duration</b></li>
							
              <p>5 days
						</p>
              
							
              
              
						</ul>
					</div>
				</div>
      <h3><b>Network DevOps course contents</b></h3>
      <ul>
				<li>What is DevOps </li><p>
Programming and automating networks, networks and clouds, AWS, OpenStack, SDN, DevOps for network operations.

</p><li>Initial configuration </li><p>
Configuring SSH, ZTP, POAP.
<br /><span>Hands on</span> Initial lab configuration.

</p><li>Getting started with ansible </li><p>
The language, the engine, the framework. Uses of ansible, orchestration. The architecture, Controlling machines, nodes, Agentless, SSH, modules. Configuration management, inventories, playbooks, modules, roles.
<br /><span>Hands on</span> Installing ansible, running ad hoc commands.

</p><li>Ansible playbooks </li><p>
ansible-playbook, YAML, plays, tasks, handlers, modules. Playbook variables. Register module, debug module.
<br /><span>Hands on</span> Running playbooks.

</p><li>Ansible Inventories </li><p>
/etc/ansible/hosts, hosts, groups, static inventories, dynamic inventories. Inventory variables, external variables. Limiting hosts.
<br /><span>Hands on</span> Static inventories, variables in inventory files.

</p><li>Ansible modules for networking </li><p>
Built in modules, custom modules, return values. Core modules for network operations. Cisco and/or Juniper modules. ansible_connection. Ansible 2.6 CLI.
<br /><span>Hands on</span> Using modules.

</p><li>Ansible templating and roles </li><p>
aConfiguration management, full configurations, partial configurations. The template module, the assemble module, connection: local, Jinja2 templates, variables, if, for, roles.
<br /><span>Hands on</span> Generating multiple configurations from a template.

</p><li>Network programming and modules </li><p>
	Why use Python? Why use ansible? alternatives, ansible tower, Linux network devices.

</p><li>Programming with Python </li><p>
Python programming Functions. Classes, objects and instances, modules, libraries, packages. Python strings, Python file handling, pip list, pip instal.
<br /><span>Hands on</span> Python programming with pyping.

</p><li>More Python programming </li><p>
Functions. Classes, objects and instances, modules, libraries, packages. Python strings, Python file handling, pip list, pip install.
<br /><span>Hands on</span> Python programming with pyping.

</p><li>Git  </li><p>
	Distributed version control, repositories, Git and GitHub, Alternatives to GitHub, Installing git, git workflows, creating repositories, adding and editing files, branching and merging, merge conflicts.
<br /><span>Hands on</span> working with Git.

</p><li>Python and networking </li><p>
APIs, Sockets, Telnetlib, pysnmp, ncclient, ciscoconfparse.

</p><li>Paramiko SSH and Netmiko </li><p>
Integrating Python and network devices using SSH. Netmiko, Netmiko methods.
<br /><span>Hands on</span> Netmiko.

</p><li>NAPALM </li><p>
What is NAPALM, NAPALM operations, getters, Replace, merge, compare, commit, discard.
<br /><span>Hands on</span> Configuration with NAPALM. Integrating ansible and NAPALM.

</p><li>Python and REST </li><p>
REST APIs, enabling the REST API. Accessing the REST API with a browser, cURL, Python and REST, the request library.
<br /><span>Hands on</span> Using a REST API with network devices.</p>
      </ul>

DevOps for networking engineers

<h3><b>Network automation course description</b></h3>
      <p>This course is not a soft skills course covering the
concepts of DevOps but instead concentrates on the
technical side of tools and languages for network
DevOps. Particular technologies focussed on are
ansible, git and Python enabling delegates to leave the
course ready to starting automating their network.
Hands on sessions follow all major sections. More
detailed courses on individual aspects of this course
are available.</p>
        
				<h5><b>What will you learn</b></h5>
				<ul>
				 
					
					<li>Evaluate network automation tools.</li>

<li>Automate tasks with ansible.</li>
<li>Use git for version control.</li>
<li>Use Python to manage network devices.</li>
<li>Use Python libraries for network devices.
</li>
                  </ul>
        <h5>
        <b>Network automation course details</b> </h5>
				<div>
					<div>
						<ul>
							<li><b> Who will benefit:</b> </li>
							
              <p>Network engineers.</p>
              
							<li><b>Prerequisites:</b></li>
							
              <p>TCP/IP foundation for engineers.</p>
              
							<li><b>Duration</b></li>
							
              <p>5 days
						</p>
              
							
              
              
						</ul>
					</div>
				</div>
      <h3><b>Network automation course contents</b></h3>
      <ul>
				<li>What is DevOps </li><p>
					Programming and automating networks, networks
and clouds, AWS, OpenStack, SDN, DevOps for
network operations.
</p><li>Initial configuration </li><p>
Configuring SSH, ZTP, POAP. <br /><span>Hands on</span> Initial
lab configuration.
</p><li>Getting started with ansible </li><p>
The language, the engine, the framework. Uses of
ansible, orchestration. The architecture,
Controlling machines, nodes, Agentless, SSH,
modules. Configuration management, inventories,
playbooks, modules, roles. <br /><span>Hands on</span> Installing
ansible, running ad hoc commands.
</p><li>Ansible playbooks </li><p>
ansible-playbook, YAML, plays, tasks, handlers,
modules. Playbook variables. Register module,
debug module. <br /><span>Hands on</span> Running playbooks.
</p><li>Ansible Inventories </li><p>
/etc/ansible/hosts, hosts, groups, static
inventories, dynamic inventories. Inventory
variables, external variables. Limiting hosts.
<br /><span>Hands on</span> Static inventories, variables in inventory
files.
				</p><li>Ansible modules for networking </li><p>
Built in modules, custom modules, return values.
Core modules for network operations. Cisco and/
or Juniper modules. ansible_connection. Ansible
2.6 CLI. <br /><span>Hands on</span> Using modules.
</p><li>Ansible templating and roles </li><p>
Configuration management, full configurations,
partial configurations. The template module, the
assemble module, connection: local, Jinja2
templates, variables, if, for, roles. <br /><span>Hands on</span>
Generating multiple configurations from a
template.
</p><li>Network programming and modules </li><p>
Why use Python? Why use ansible? alternatives,
ansible tower, Linux network devices.
</p><li>Programming with Python </li><p>
Scripting versus application development, Python
interactive mode, Python scripts, Python 2.7 vs
Python 3. A simple Python script. Variables,
loops, control statements, operators. PEP style
guide. Python IDEs. <br /><span>Hands on</span> Simple Python
programs.
</p><li>More Python programming </li><p>
Functions. Classes, objects and instances,
modules, libraries, packages. Python strings,
Python file handling, pip list, pip install, <br /><span>Hands on</span>
Python programming with pyping.
</p><li>Git </li><p>
Distributed version control, repositories, Git and
GitHub, Alternatives to GitHub, Installing git, git
workflows, creating repositories, adding and
editing files, branching and merging, merge
conflicts. Hands on working with Git.
</p><li>Python and networking </li><p>
APIs, Sockets, Telnetlib, pysnmp, ncclient,
ciscoconfparse.
</p><li>Paramiko SSH and Netmiko </li><p>
Integrating Python and network devices using
SSH. Netmiko, Netmiko methods. <br /><span>Hands on</span>
Netmiko.
</p><li>PyEZ </li><p>
Juniper, NETCONF, installing PyEZ, a first pyEZ
script, pyEZ configuration management. <br /><span>Hands on</span> Juniper configuration management with pyEZ.
</p><li>NAPALM </li><p>
What is NAPALM, NAPALM operations, getters,
Replace, merge, compare, commit, discard.
<br /><span>Hands on</span> Configuration with NAPALM.
Integrating ansible and NAPALM.
</p><li>Python and REST </li><p>
REST APIs, enabling the REST API. Accessing
the REST API with a browser, cURL, Python and
REST, the request library. <br /><span>Hands on</span> Using a
REST API with network devices.
</p>
      </ul>

Network automation for engineers

<h3><b>CCNP training course description</b></h3>
        <p>The Implementing and Operating Cisco Enterprise
Network Core Technologies (ENCOR) v1.2 course
provides the knowledge and skills needed to configure,
troubleshoot, and manage enterprise wired and
wireless networks. You'll learn to implement security
principles within an enterprise network and how to
overlay network design using solutions such as SDAccess and SD-WAN. Course content includes 3 days
of self-study material. This course helps you prepare for
the 350-401 Implementing Cisco Enterprise Network
Core Technologies (ENCOR) exam</p>
        
				<h5><b>What will you learn</b></h5>
				<ul>
				 
     <li>Configure, troubleshoot, and manage enterprise
wired and wireless networks</li>
<li> Implement security principles within an enterprise
network</li>
<li> Prepare you prepare to take the 350-401
Implementing Cisco Enterprise Network Core
Technologies (ENCOR) exam
</li>
 
                  </ul>
        <h5>
        <b>CCNP training course details</b> </h5>
				<div>
					<div>
						<ul>
							<li><b> Who will benefit:</b> </li>
							
              <p>
   Mid-level network engineers, Network administrators,
Network support technicians, Help desk technicians.</p>
              
							<li><b>Prerequisites:</b></li>
							
              <p>Implementation of Enterprise LAN networks. Basic
understanding of Enterprise routing and wireless
connectivity, and Python scripting</p>
              
							<li><b>Duration</b></li>
							
              <p>5 days</p>
              
							
              
              
						</ul>
					</div>
				</div>
			
				 <h3><b>CCNP training course content</b></h3>
				
      <ul>
				<li>Cisco Enterprise Network Architecture:</li>

 Access,
distribution, core in the hierarchical network.
Cisco Switching Paths: Switching mechanisms, TCAM,
CAM, process switching, fast switching, and CEF.
		  <li>
Implementing Campus LAN Connectivity:</li> Troubleshoot
L2 connectivity using VLANs and trunking<br />
		  <b>Building Redundant Switched Topology:</b> STP<br />
		  
Implementing Layer 2 Port Aggregation<br />
Troubleshoot link aggregation using Etherchannel<br />
EIGRP<br />
Implement and optimize OSPFv2/v3, including
adjacencies, packet types, and areas, summarization,
and route filtering for IPv4/v6<br />
Implement EBGP interdomain routing, path selection,
and single and dual-homed networking<br />
		  <b>Implementing Network Redundancy:</b> HSRP and VRRP<br />
Implement static and dynamic NAT<br />
Virtualization Protocols and Techniques<br />
		  <b>VPNs and Interfaces:</b> Overlay technologies such as VRF,
GRE, VPN, and LISP
		  <b>Wireless Principles:</b> RF, antenna characteristics, and
wireless standards.<br />
<b>Wireless Deployment:</b> Models available, autonomous AP
deployments and cloud-based designs within the
centralized Cisco WLC architecture<br />
Wireless Roaming and Location Services<br />
<b>Wireless AP Operation:</b> How APs communicate with
WLCs to obtain software, configurations, and centralized
management<br />
<b>Wireless Client Authentication:</b> EAP, WebAuth, and PSK
wireless client authentication on a WLC.<br />
Troubleshoot wireless client connectivity issues using
various available tools<br />
Troubleshoot networks using services such as NTP,
SNMP, Cisco IP SLAs, NetFlow, and Cisco IOS EEM
Explain network analysis and troubleshooting tools,
which include show and debug commands, as well as
best practices in troubleshooting<br />
<b>Multicast Protocols:</b> IGMP v2/v3, PIM DM/SM and RPs
<b>Introducing QoS:</b> Concepts and features.<br />
Implementing Network Services: Secure administrative
access for Cisco IOS devices using CLI access, RBAC,
ACL, and SSH, and device hardening concepts to secure
devices from less secure applications<br />
Using Network Analysis Tools<br />
<b>Infrastructure Security:</b> Scalable administration using
AAA and the local database, features and benefits<br />
Enterprise Network Security Architecture: VPNs,
content security, logging, endpoint security, personal
firewalls, and other security features.<br />
Automation and Assurance with Cisco DNA Center:
Purpose, function, features, and workflow. Intent-Based
Networking, for network visibility, proactive monitoring,
and application experience<br />
<b>Cisco SD-Access Solution:</b> Nodes, fabric control plane,
and data plane, VXLAN gateways<br />
<b>Cisco SD-WAN Solution:</b> Components and features of
Cisco SD-WAN solutions, including the orchestration,
management, control, and data planes<br />
	<b>Basics of Python Programming:</b> Python components
and conditionals with script writing and analysis<br />
Network Programmability: NETCONF and RESTCONF
		  APIs in Cisco DNA Center and vManage<p></p>

<li>Labs: </li><p>
Investigate the CAM. Analyze CEF. Troubleshoot
VLAN and Trunk Issues. Tuning STP and Configuring
RSTP. Configure MSTP. Troubleshoot EtherChannel.
Implement Multi-area OSPF. Implement OSPF Tuning.
Apply OSPF Optimization. Implement OSPFv3.
Configure and Verify Single-Homed EBGP.
Implementing HSRP. Configure VRRP. Implement
NAT. Configure and Verify VRF. Configure and Verify a
GRE Tunnel. Configure Static VTI Point-to-Point
Tunnels. Configure Wireless Client Authentication in a
Centralized Deployment. Troubleshoot Wireless Client
Connectivity Issues. Configure Syslog. Configure and
Verify Flexible NetFlow. Configuring Cisco IOS EEM.
Troubleshoot Connectivity and Analyze Traffic with
Ping, Traceroute, and Debug. Configure and Verify
Cisco IP SLAs. Configure Standard and Extended
ACLs. Configure Control Plane Policing. Implement
Local and Server-Based AAA. Writing and
Troubleshooting Python Scripts. Explore JSON Objects
and Scripts in Python. Use NETCONF Via SSH. Use
RESTCONF with Cisco IOS XE. 
</p>
      </ul>

CCNP core

Hudson

This course bundle is ideal for anyone looking to establish their Cisco networking career. It consists of one Cisco Certified Network Associate (CCNA) certification, one Cisco Certified DevNet Associate (CCDA) certification, and four Cisco Certified Networking Professional (CCNP) certifications. Although there are no formal prerequisites to enrol on the CCNA, CCDA, or CCNP certification courses and sit the exams, learners should have a good foundation knowledge in networking. The newly retooled CCNA covers a breadth of topics, including:
 

Network fundamentals
Network access
IP connectivity
IP services
Security fundamentals
Automation and programmability

Achieving CCNA certification is the first step in preparing for a career in networking technologies. To earn your CCNA certification, you only need to pass one exam – which covers a broad range of fundamentals for IT careers, based on the latest networking technologies.
 
The Cisco Certified DevNet Associate certification validates your skills and knowledge in understanding and using APIs, Cisco platforms and development, application development and security, and infrastructure and automation. Ideally, DevNet Associates candidates also have one or more years of experience with software development including Python programming.
 
The CCNP is the next level from the CCNA and CCDA. As with the CCNA, there are no formal prerequisites to enrol on the CCNP certification course and sit for the exams. Learners taking a CCNP course generally have an in-depth knowledge of networking, as well as a good understanding of Cisco technologies. The typical certification path for most learners would begin with either the CCDA or CCNA, then progress onto the CCNP.
 
Learners need to pass two exams (one core exam and one concentration exam) in order to gain one CCNP certification. This course bundle includes the core exam and three concentration exams. Once a learner has passed the core exam, they can choose to specialise in one or all three of the CCNP concentration areas listed in this course. The core exam’s focus is based around implementing and operating Cisco enterprise network core technologies.

Complete Cisco Bundle with 6 Exams

General admission

<strong>Learn Python programming by developing robust GUIs and games</strong>
        <p>Coding for beginners and kids is now made exciting and easy. Learn to code fun?games, graphics and graphical user interfaces (GUIs) in Python, one of the most powerful programming languages known for its speed, flexibility, and ease-of-use. The Python coding language integrates well with other platforms and runs on almost all modern devices. This OSI-approved open-source language allows free use and distribution (including commercial distribution).
This course helps you delve into the graphics and UX (user experience) aspects of Python. You'll get up to speed with this computer language in a hands-on manner by drawing shapes, coding a simple game, and designing GUIs (graphical user interfaces), including a functional GUI for a temperature converter app. The course will also guide you through analyzing scientific and statistical data. As you advance, you'll get to grips with developing educational software. In addition to this, you'll gain comprehensive insights into accessing and organizing databases, along with understanding how to manage networks.
By the end of this course, you will be well-versed with using not only Python 2 but Python 3 as well for designing immersive games and developing interactive applications and websites.
All the codes and supporting files for this course are available at - https://github.com/PacktPublishing/Project-Based-Python-Programming-For-Kids-and-Beginners</p>
        <h2>What You Will Learn</h2><p>Build simple Python-based games using programming loops and functions<br>Draw graphics using the Python module Turtle<br>Develop Python graphical user interfaces with Tkinter<br>Understand how to work with Python 2 and 3<br>Use the in-built Python modules for your projects<br>Use Microsoft Visual Studio Code-a powerful IDLE for programming and development in Python and other languages</p>
        <h2>Audience</h2><p>If you are interested in developing your Python skills, working through real-life programming projects, or building exciting games and GUIs, then this course is for you.</p>
        <h2>Approach</h2><p>The course provides detailed instructions for everything from Python installation to getting started with Microsoft Visual Code. It features helpful coding instructions, along with code examples. Each video will teach you a new programming?concept?that you can apply in real time. The course also helps you reinforce your learning with fun quizzes.</p>
        <h2>Key Features</h2><p>Learn the basics of Python game programming * Develop intuitive and efficient Python GUIs * Create simple yet practical applications in Python</p>
        <h2>Github Repo</h2><p>https://github.com/packtpublishing/project-based-python-programming-for-kids-and-beginners</p>
        <h2>About the Author</h2><h3>Minerva Singh</h3><p>Minerva Singh is a PhD graduate from Cambridge University where she specialized in Tropical Ecology. She is also a part-time Data Scientist. As part of her research, she must carry out extensive data analysis, including spatial data analysis. For this purpose, she prefers to use a combination of freeware tools: R, QGIS, and Python. She does most of her spatial data analysis work using R and QGIS. Apart from being free, these are very powerful tools for data visualization, processing, and analysis. She also holds an MPhil degree in Geography and Environment from Oxford University. She has honed her statistical and data analysis skills through several MOOCs, including The Analytics Edge and Statistical. In addition to spatial data analysis, she is also proficient in statistical analysis, machine learning, and data mining.</p>
        <h2>Course Outline</h2><h4>1. Introduction to Project Based Python Programming</h4><p></p><table width='100%'><tbody><tr><td style='padding: 15px;'><p>1. Introduction to the Course & Me</p><p style='margin: 0'>Introduction to Project Based Python Programming: Introduction to the Course & Me</p></td></tr><tr><td style='padding: 15px;'><p>2. Python Installation for Windows</p><p style='margin: 0'>Introduction to Project Based Python Programming: Python Installation for Windows</p></td></tr><tr><td style='padding: 15px;'><p>3. Python Installation for Other OS</p><p style='margin: 0'>Introduction to Project Based Python Programming: Python Installation for Other OS</p></td></tr><tr><td style='padding: 15px;'><p>4. Online Python IDLE</p><p style='margin: 0'>Introduction to Project Based Python Programming: Online Python IDLE</p></td></tr><tr><td style='padding: 15px;'><p>5. Hello World in Python</p><p style='margin: 0'>Introduction to Project Based Python Programming: Hello World in Python</p></td></tr><tr><td style='padding: 15px;'><p>6. Python Coding with Visual Studio</p><p style='margin: 0'>Introduction to Project Based Python Programming: Python Coding with Visual Studio</p></td></tr><tr><td style='padding: 15px;'><p>7. Some Common Python Terms</p><p style='margin: 0'>Introduction to Project Based Python Programming: Some Common Python Terms</p></td></tr><tr><td style='padding: 15px;'><p>8. Conclusion to Section 1</p><p style='margin: 0'>Introduction to Project Based Python Programming: Conclusion to Section 1</p></td></tr></tbody></table><br><h4>2. Diving into the Python Basics</h4><p></p><table width='100%'><tbody><tr><td style='padding: 15px;'><p>1. Basic Arithmetic in Python</p><p style='margin: 0'>Diving into the Python Basics: Basic Arithmetic in Python</p></td></tr><tr><td style='padding: 15px;'><p>2. Welcome to the World of Data Types</p><p style='margin: 0'>Diving into the Python Basics: Welcome to the World of Data Types</p></td></tr><tr><td style='padding: 15px;'><p>3. Random Number Generation</p><p style='margin: 0'>Diving into the Python Basics: Random Number Generation</p></td></tr><tr><td style='padding: 15px;'><p>4. Working With Strings</p><p style='margin: 0'>Diving into the Python Basics: Working With Strings</p></td></tr><tr><td style='padding: 15px;'><p>5. Get User Inputs</p><p style='margin: 0'>Diving into the Python Basics: Get User Inputs</p></td></tr><tr><td style='padding: 15px;'><p>6. Tuples</p><p style='margin: 0'>Diving into the Python Basics: Tuples</p></td></tr><tr><td style='padding: 15px;'><p>7. Lists</p><p style='margin: 0'>Diving into the Python Basics: Lists</p></td></tr><tr><td style='padding: 15px;'><p>8. Dictionaries</p><p style='margin: 0'>Diving into the Python Basics: Dictionaries</p></td></tr><tr><td style='padding: 15px;'><p>9. Defining our Own Functions in Python-Basic</p><p style='margin: 0'>Diving into the Python Basics: Defining our Own Functions in Python-Basic</p></td></tr><tr><td style='padding: 15px;'><p>10. Some More On Functions</p><p style='margin: 0'>Diving into the Python Basics: Some More On Functions</p></td></tr><tr><td style='padding: 15px;'><p>11. Conclusions to Section 2</p><p style='margin: 0'>Diving into the Python Basics: Conclusions to Section 2</p></td></tr></tbody></table><br><h4>3. Decision Making with Programming</h4><p></p><table width='100%'><tbody><tr><td style='padding: 15px;'><p>1. Rationale for this section</p><p style='margin: 0'>Decision Making with Programming: Rationale for this section</p></td></tr><tr><td style='padding: 15px;'><p>2. if-else loops</p><p style='margin: 0'>Decision Making with Programming: if-else loops</p></td></tr><tr><td style='padding: 15px;'><p>3. elif in if-else loops</p><p style='margin: 0'>Decision Making with Programming: elif in if-else loops</p></td></tr><tr><td style='padding: 15px;'><p>4. while loop</p><p style='margin: 0'>Decision Making with Programming: while loop</p></td></tr><tr><td style='padding: 15px;'><p>5. for loop</p><p style='margin: 0'>Decision Making with Programming: for loop</p></td></tr><tr><td style='padding: 15px;'><p>6. More on Loops</p><p style='margin: 0'>Decision Making with Programming: More on Loops</p></td></tr><tr><td style='padding: 15px;'><p>7. Nested For Loop</p><p style='margin: 0'>Decision Making with Programming: Nested For Loop</p></td></tr><tr><td style='padding: 15px;'><p>8. Build a Number Guessing Game!!-Basic</p><p style='margin: 0'>Decision Making with Programming: Build a Number Guessing Game!!-Basic</p></td></tr><tr><td style='padding: 15px;'><p>9. Build a Number Guessing Game!!-Advanced</p><p style='margin: 0'>Decision Making with Programming: Build a Number Guessing Game!!-Advanced</p></td></tr><tr><td style='padding: 15px;'><p>10. OPTIONAL:Build a Number Guessing Game!!-(More) Advanced</p><p style='margin: 0'>Decision Making with Programming: OPTIONAL:Build a Number Guessing Game!!-(More) Advanced</p></td></tr><tr><td style='padding: 15px;'><p>11. Conclusion to Section 3</p><p style='margin: 0'>Decision Making with Programming: Conclusion to Section 3</p></td></tr></tbody></table><br><h4>4. Graphics with Python</h4><p></p><table width='100%'><tbody><tr><td style='padding: 15px;'><p>1. Working With Graphics in Python</p><p style='margin: 0'>Graphics with Python: Working With Graphics in Python</p></td></tr><tr><td style='padding: 15px;'><p>2. Draw a Square</p><p style='margin: 0'>Graphics with Python: Draw a Square</p></td></tr><tr><td style='padding: 15px;'><p>3. The Idea Behind Angles</p><p style='margin: 0'>Graphics with Python: The Idea Behind Angles</p></td></tr><tr><td style='padding: 15px;'><p>4. Draw a Rectangle Using Loops</p><p style='margin: 0'>Graphics with Python: Draw a Rectangle Using Loops</p></td></tr><tr><td style='padding: 15px;'><p>5. Create a Rectangle Function</p><p style='margin: 0'>Graphics with Python: Create a Rectangle Function</p></td></tr><tr><td style='padding: 15px;'><p>6. Code Along1: Draw an Equilateral Triangle</p><p style='margin: 0'>Graphics with Python: Code Along1: Draw an Equilateral Triangle</p></td></tr><tr><td style='padding: 15px;'><p>7. Code Along2: Draw an Equilateral Triangle With Loops</p><p style='margin: 0'>Graphics with Python: Code Along2: Draw an Equilateral Triangle With Loops</p></td></tr><tr><td style='padding: 15px;'><p>8. Code an Irregular Shape: Start a Snowflake</p><p style='margin: 0'>Graphics with Python: Code an Irregular Shape: Start a Snowflake</p></td></tr><tr><td style='padding: 15px;'><p>9. Snowflakes!!</p><p style='margin: 0'>Unsupervised Learning in Python: Hierarchical Clustering-practical</p></td></tr><tr><td style='padding: 15px;'><p>10. Conclusions to Section 4</p><p style='margin: 0'>Graphics with Python: Conclusions to Section 4</p></td></tr></tbody></table><br><h4>5. GUI Programming with Python</h4><p></p><table width='100%'><tbody><tr><td style='padding: 15px;'><p>1. Start with GUIs in Python</p><p style='margin: 0'>GUI Programming with Python: Start with GUIs in Python</p></td></tr><tr><td style='padding: 15px;'><p>2. Create a Simple Button With tkinter</p><p style='margin: 0'>GUI Programming with Python: Create a Simple Button With tkinter</p></td></tr><tr><td style='padding: 15px;'><p>3. Add Functionality to the Button</p><p style='margin: 0'>GUI Programming with Python: Add Functionality to the Button</p></td></tr><tr><td style='padding: 15px;'><p>4. The Tkinter Grid</p><p style='margin: 0'>GUI Programming with Python: The Tkinter Grid</p></td></tr><tr><td style='padding: 15px;'><p>5. Common Tkinter GUI Widgets</p><p style='margin: 0'>GUI Programming with Python: Common Tkinter GUI Widgets</p></td></tr><tr><td style='padding: 15px;'><p>6. Canvas for Drawing-part1</p><p style='margin: 0'>GUI Programming with Python: Canvas for Drawing-part1</p></td></tr><tr><td style='padding: 15px;'><p>7. Canvas for Drawing-part2</p><p style='margin: 0'>GUI Programming with Python: Canvas for Drawing-part2</p></td></tr><tr><td style='padding: 15px;'><p>8. Simple Expression Evaluator</p><p style='margin: 0'>GUI Programming with Python: Simple Expression Evaluator</p></td></tr><tr><td style='padding: 15px;'><p>9. Start With the Temperature Conversion App</p><p style='margin: 0'>GUI Programming with Python: Start With the Temperature Conversion App</p></td></tr><tr><td style='padding: 15px;'><p>10. Complete the App-1</p><p style='margin: 0'>GUI Programming with Python: Complete the App-1</p></td></tr><tr><td style='padding: 15px;'><p>11. Complete the App-2</p><p style='margin: 0'>GUI Programming with Python: Complete the App-2</p></td></tr></tbody></table>

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